GITNUXSOFTWARE ADVICE
Technology Digital MediaTop 10 Best Notes Taking Software of 2026
Top 10 Notes Taking Software ranked by features and workflow fit, with comparisons of Notion, OneNote, and Confluence for teams.
How we ranked these tools
Core product claims cross-referenced against official documentation, changelogs, and independent technical reviews.
Analyzed video reviews and hundreds of written evaluations to capture real-world user experiences with each tool.
AI persona simulations modeled how different user types would experience each tool across common use cases and workflows.
Final rankings reviewed and approved by our editorial team with authority to override AI-generated scores based on domain expertise.
Score: Features 40% · Ease 30% · Value 30%
Gitnux may earn a commission through links on this page — this does not influence rankings. Editorial policy
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Notion
Database relations let notes link through explicit schemas and property-driven queries.
Built for fits when teams need notes that also function as structured, automatable data..
Microsoft OneNote
Editor pickInk and typed content on the same OneNote page with automatic organization into notebook sections.
Built for fits when Microsoft 365 teams need page-based notes, search, and collaboration with light structure..
Confluence
Editor pickConfluence REST API for content operations and automation tied to spaces and pages.
Built for fits when teams need governed knowledge capture integrated with Jira workflows and API-driven automation..
Related reading
Comparison Table
This comparison table evaluates notes and knowledge tools through integration depth, data model design, automation and API surface, and admin plus governance controls. It highlights how each platform handles schemas, extensibility, configuration, provisioning workflows, and access control via RBAC, alongside audit log coverage. Readers can use the table to map tradeoffs in data portability, automation throughput, and customization paths across tools such as Notion, Microsoft OneNote, Confluence, Google Keep, and Evernote.
Notion
API-first workspaceProvides a block-based notes and knowledge workspace with an extensive API surface for integration, schema-like properties, and workspace administration.
Database relations let notes link through explicit schemas and property-driven queries.
Notion treats notes as structured pages that can be linked to database records through relations and properties. The data model supports custom schemas, computed views, and template-driven page provisioning for repeatable note types. Automation and extensibility rely on an API surface with authentication scopes and predictable endpoints for reading and writing blocks, pages, and database items. Integration breadth also comes from third-party connectors that map into Notion pages and database rows.
A key tradeoff is that deep automation often requires working at the block and page granularity, which increases implementation effort versus pure markdown note apps. Another tradeoff is that governance and audit visibility can feel workspace-scoped rather than tenant-scoped for complex compliance needs. Notion fits best when notes need to become queryable records and when teams want workflow automation tied to a shared schema.
- +Pages and databases share the same structure for notes that become queryable records
- +Relations and properties create an explicit data model for knowledge graph style navigation
- +API access supports programmatic creation and updates at block, page, and database level
- +Templates enable repeatable note types and consistent provisioning across teams
- +Third-party integrations map into pages and database items for workflow handoffs
- –Automation often requires block-level handling instead of simple markdown transforms
- –Complex governance needs can outgrow workspace-scoped controls and visibility
Product management teams
Maintaining release notes that link to requirements, decisions, and associated customer issues
A single source of truth where leadership can trace each release item to requirements and evidence.
Engineering orgs running design review workflows
Generating review packets from standard templates and syncing statuses to engineering tools
Consistent review artifacts and faster review routing based on machine-readable status fields.
Show 2 more scenarios
Knowledge operations and enablement teams
Building a searchable, schema-driven knowledge base from meeting notes and playbooks
Reduced duplication and easier knowledge reuse because updates propagate through structured links.
Notion can model playbooks and meeting notes as database-backed pages with categories, owners, and references. Relations connect related concepts so future edits stay anchored to a consistent schema.
System integrators and internal automation teams
Creating a custom knowledge ingestion pipeline that converts external documents into Notion records
Higher throughput for knowledge capture with predictable configuration and repeatable transformations.
Notion API access supports programmatic creation and updates of pages and database items and lets automation write structured metadata. Webhook-driven workflows can trigger ingestion steps when source systems publish new content.
Best for: Fits when teams need notes that also function as structured, automatable data.
Microsoft OneNote
Microsoft ecosystemSupports structured note pages within Microsoft 365 with deep ecosystem integration across identity, sharing, compliance, and automation options through Microsoft services.
Ink and typed content on the same OneNote page with automatic organization into notebook sections.
OneNote fits teams that need a flexible document-like data model for meeting notes, research, and mixed media capture. It stores content as page-based entries within a notebook schema and makes those pages searchable by text in most content types. Microsoft integration depth is strong because OneNote runs across Windows, macOS, and web, and it aligns with Microsoft 365 identity and sharing patterns.
The main tradeoff is that OneNote page content is less suited to strict relational workflows because the data model is centered on notebooks and pages instead of structured fields. OneNote works well when knowledge is narrative and media-heavy, such as marking up diagrams with ink or capturing screenshots during investigations. It fits less when governance teams require a consistent schema for automated extraction at scale.
- +Notebook and page hierarchy matches real-world meeting and study workflows
- +Full-text search across typed notes and many embedded content types
- +Shared notebooks support collaboration using Microsoft 365 identities
- –Limited field-level schema makes automated extraction harder than form-based tools
- –Automation and API access for page-level updates is constrained versus document APIs
- –Cross-notebook governance can be harder when teams self-provision spaces
Project managers in Microsoft 365 organizations
Capture weekly status updates with embedded artifacts and link them across sections.
Faster retrieval of prior decisions and attachments during planning reviews.
Design and engineering teams doing diagram markup
Review architecture sketches and capture feedback with ink overlaid on diagrams.
Clearer review record with feedback captured in context on the same page.
Show 1 more scenario
IT and compliance teams managing Microsoft 365 content access
Standardize collaboration by controlling which users can share and view notebooks.
Consistent access control tied to RBAC patterns across Microsoft 365.
IT teams can apply Microsoft 365 identity-based controls for access to shared notebooks and rely on tenant-level policies for account governance. Audit and reporting depend on Microsoft 365 tooling and notebook sharing patterns rather than OneNote-specific audit exports.
Best for: Fits when Microsoft 365 teams need page-based notes, search, and collaboration with light structure.
Confluence
enterprise wikiOffers collaborative documentation and notes with REST APIs, content models, and enterprise governance controls for permissions, auditing, and automation integrations.
Confluence REST API for content operations and automation tied to spaces and pages.
Confluence centers notes around a page-centric data model that supports templates, version history, and nested navigation within spaces. Integration depth shows up through built-in links and metadata sync patterns with Jira issues and pull requests, plus extensibility via content macros and the REST API. Automation and data interchange work through documented endpoints for content, search, and space management, which supports scripted workflows and external content ingestion.
A key tradeoff is that automation and bulk operations require API or add-on work rather than a native no-code schema editor for custom data types. For teams that need controlled knowledge capture tied to Jira workflows, Confluence works well when notes must inherit context like issue keys and permissions. For ad-hoc personal notebooks with minimal governance needs, space-level governance can add overhead.
Governance is handled with role-based permission controls at the space level plus admin settings for restrictions like external sharing and directory-backed user management. Audit log visibility helps track content changes and access events, which supports compliance reviews and internal investigations.
- +Space-level RBAC aligns permissions with organizational structures
- +Jira issue and link context keeps notes attached to work items
- +REST API supports content CRUD, search, and automation scripts
- +Macro and template system standardizes how knowledge is written
- –Custom data models rely on macros and add-ons, not native schemas
- –Bulk edits and migrations typically require API-based workflows
- –Permission changes can be operationally heavy across large spaces
Enterprise IT and platform teams
Centralize runbooks and operational notes per environment and service owner space.
Faster incident response via consistent runbooks with permissions enforced at the space boundary.
Software engineering teams using Jira and Git workflows
Maintain architecture decision and technical design notes linked to implementation work items.
Clear audit trail that maps decisions to tickets and releases.
Show 1 more scenario
Program management and operations teams
Coordinate meeting notes, approvals, and process documentation across departments.
Reduced documentation drift through standardized page structures and controlled distribution.
Spaces segment knowledge by program, and permission scoping prevents cross-team access to sensitive meeting notes. Templates enforce consistent agendas, and the REST API enables bulk page generation for recurring governance ceremonies.
Best for: Fits when teams need governed knowledge capture integrated with Jira workflows and API-driven automation.
Google Keep
consumer-to-suiteProvides lightweight notes with Google account integration, search, and interoperability with Google services that support programmatic access via Google APIs.
Shared notes with labels and pinning for quick team visibility inside Google accounts.
Google Keep combines simple note capture with tight integration across Google Workspace apps like Gmail, Docs, and Calendar. Its data model centers on notes with tags, pinned states, and shared collections, which suits quick capture and team visibility.
Automation options are limited because Keep exposes minimal public API surface for programmatic note creation, updates, and governance workflows. Administrative and governance controls largely follow Google Workspace account controls rather than Keep-specific RBAC, audit log granularity, or provisioning hooks.
- +Google Workspace integrations support frictionless capture from Gmail, Docs, and Calendar
- +Fast note workflows with labels and pinning reduce time to retrieval
- +Shared notes enable lightweight collaboration without separate project setup
- –Public automation and API access are minimal for schema-driven integrations
- –Governance is coarse under Workspace controls with limited Keep-specific RBAC
- –Extensibility for workflows like approvals or templated schemas is constrained
Best for: Fits when teams need quick visual notes with Workspace integration and minimal automation requirements.
Evernote
sync notesDelivers cross-device notes with document capture and sync, plus programmatic access options and account-level controls for teams.
Web Clipper with saved article structure and attachment support.
Evernote captures notes, notebooks, and search-indexed attachments with a document-first data model. Integration centers on browser and mobile capture, web clipper workflows, and cross-device sync for shared collections.
Evernote also supports imports, exports, and note organization controls through its account and notebook structure. Automation and API extensibility are limited compared with tools that expose a broad automation and admin surface.
- +Web Clipper captures article content into notes for consistent reference trails
- +Fast full-text search across notes and attached files
- +Notebook and tag structure keeps a stable retrieval schema
- +Cross-device sync maintains note state across desktop and mobile
- –Automation options and public API surface are limited
- –Administrative governance features like RBAC and audit logs are not prominent
- –Workflow integrations rely more on capture than on programmable actions
- –Data model lacks visible schema controls for automation-oriented setups
Best for: Fits when individuals or small teams need quick capture and reliable search, not heavy automation.
Obsidian Publish
Markdown vaultPublishes and organizes Markdown notes stored in a local vault, with integration options via plugins and automation scripts over the filesystem.
Vault-to-website publishing with link-aware internal navigation from Markdown pages.
Obsidian Publish turns Obsidian vault content into a browsable website with link-aware navigation and page-level routing. It preserves the Markdown data model and supports embeds, math, and standard Obsidian authoring workflows.
Content is published from vault structure to a public site layout with configurable themes and basic access behaviors. It is driven by configuration rather than interactive publishing workflows, so governance depends on vault hygiene and publishing rules.
- +Markdown-first publishing preserves the vault data model without a new schema layer
- +Link-aware navigation keeps internal references consistent across published pages
- +Version-friendly publishing aligns with git-based vault workflows and review cycles
- +Theme and layout configuration supports repeatable site formatting across projects
- –API and automation surface is limited compared to CMS platforms with full endpoints
- –RBAC and org-level governance controls are not available at granular page or role level
- –Audit log and admin reporting for publish events are not exposed for compliance workflows
- –Publishing settings rely on vault structure, so accidental content exposure risks are higher
Best for: Fits when teams need read-only public documentation from an Obsidian vault with minimal governance overhead.
Roam Research
graph notesUses a graph-based notes data model with APIs and automation hooks tied to page and block structures for engineering-oriented integrations.
Live backlinks and page relations derived from inline block references.
Roam Research centers on a graph-like data model where notes link through inline references and backlinks. The main workspace supports bidirectional navigation, nested blocks, and cross-page indexing that keeps context attached to content.
Integration depth is primarily driven by an extensibility ecosystem of community plugins and an API surface used for data access and automation. Configuration and governance features are limited compared with enterprise note systems, so admin controls and auditability rely more on account-level settings than org-grade RBAC.
- +Bidirectional backlinks keep navigation consistent across connected note blocks
- +Block-based structure supports fine-grained organization and reuse
- +API and plugin extensibility enable automation against the Roam data model
- +Inline references reduce manual link upkeep during edits
- –Org governance features like RBAC and audit logs are not designed for admin control
- –Automation and integration depend heavily on community plugins for deeper workflows
- –Data model portability can require custom exports to preserve link semantics
- –Large-scale content changes can be constrained by sync and indexing behavior
Best for: Fits when teams need block-level note linking plus extensible API automation, not enterprise-grade governance.
Tana
entity graphManages notes as entities connected by relations with an API for automation, plus import and structured workspace configuration.
Page properties with linked graph context that power structured views and workflow automation.
Tana is a notes system built around a graph-style data model where notes, links, and properties form connected structures. It supports schema-like fields on pages and uses these properties for filtering, views, and workflow-style organization.
Automation and extensibility depend on published integrations, an API surface for programmatic operations, and configurable workflows that connect data across workspaces. Admin and governance focus on access control, workspace configuration, and visibility via audit-oriented logs for change tracking.
- +Graph data model links notes and properties into queryable structures
- +Typed properties and custom fields support schema-driven organization
- +Automation connects pages to workflows through integrations and scripting
- +API enables programmatic page, link, and property operations
- +Workspace access controls support RBAC-style permissioning
- –Graph modeling can be harder than folders for some teams
- –Automation complexity increases when workflows span multiple schemas
- –API usage requires careful handling of IDs and property mappings
- –Admin controls are limited for fine-grained governance in large orgs
- –Throughput for bulk edits depends on rate limits and batching
Best for: Fits when knowledge work needs property schemas, graph links, and automation via API.
Logseq
local-first graphRuns on local-first notes stored in a text-based graph with a documented extension surface for automation and integration via plugins.
Local-first block graph with queryable links and properties via the underlying data model.
Logseq provides local-first notes using a graph-first data model backed by plain-text pages and blocks. It supports graph queries, block references, and wiki-style navigation without requiring a separate database schema.
Integration depth relies on import and export paths, filesystem-style storage, and an automation surface that includes APIs for programmatic access. Automation and extensibility center on how blocks and properties map into the graph, which enables repeatable workflows across projects.
- +Local-first storage with plain-text blocks and pages for portability
- +Graph-first data model with block references and link propagation
- +Extensibility via plugin system and configurable schemas for properties
- –Admin and governance controls are limited for RBAC and team provisioning
- –Audit log and compliance tooling are not centered on change tracking
- –Automation APIs are less standardized than enterprise doc platforms
Best for: Fits when individuals or small groups need graph notes with file-backed automation.
Craft
docs editorSupports page-based notes and doc structures with team collaboration features and integration hooks through published interfaces.
Page graph linking combined with API-driven updates to maintain structured knowledge references.
Craft is a notes and documentation tool built around structured pages, reusable blocks, and a flexible data model for linked content. Craft supports permissions at workspace and page levels so teams can separate authoring from viewing.
Craft’s automation and integration depth depends on its extensibility surface, including API access and workflow hooks for connecting external systems to page content. Craft is best evaluated by how its schema-like organization and provisioning controls fit existing knowledge workflows.
- +Structured pages with reusable blocks reduces duplication across notes
- +RBAC-style controls separate authorship and read access at page granularity
- +API-first extensibility supports programmatic content and metadata updates
- +Linking and references create traceable knowledge trails across projects
- –Automation depends on integration coverage across common external systems
- –Schema constraints for large metadata sets can require careful conventions
- –Provisioning workflows for large orgs can be heavier than folder-only models
- –Editing complex linked graphs can become slow with high page counts
Best for: Fits when teams need structured notes with API-driven integrations and governed access.
How to Choose the Right Notes Taking Software
This buyer’s guide compares Notes Taking Software tools across Notion, Microsoft OneNote, Confluence, Google Keep, Evernote, Obsidian Publish, Roam Research, Tana, Logseq, and Craft. The focus stays on integration depth, data model design, automation and API surface, and admin and governance controls.
The sections explain which tools fit specific workflows like schema-like note databases, page hierarchy note capture, space-governed documentation, and local-first graph writing. The guide also calls out concrete tradeoffs like limited field-level schema in OneNote and constrained governance in Google Keep.
Notes tools that store ideas as content, links, and structured records
Notes Taking Software turns captured thoughts into searchable pages, blocks, and linked knowledge, with many tools adding properties that act like a schema. The best systems solve retrieval and collaboration problems by combining indexing, linking, and repeatable templates.
Notion and Confluence show the category in practice by mixing page content with structured metadata and governed access. OneNote shows a different approach by storing typed and ink content inside a notebook and page hierarchy built for Microsoft 365 collaboration.
Integration, data model, automation, and governance criteria
Integration depth determines how well note content can connect to other systems through documented APIs, webhooks, and app ecosystems. Data model design determines whether notes act like plain text pages or queryable records with explicit relations and properties.
Automation and API surface determines whether workflows can be triggered and updated at block, page, or database scope. Admin and governance controls determine whether access, provisioning, and audit visibility work at team and org scale using RBAC-style permissions and audit logs.
API and automation surface for content CRUD
Confluence exposes a REST API that supports content operations and automation tied to spaces and pages, which is a strong fit for scripted documentation workflows. Notion offers an API that supports programmatic creation and updates at block, page, and database level, including templates and provisioning patterns.
Schema-like properties and relations for queryable notes
Notion treats pages and databases as compatible structures so notes become queryable records using properties and Relations. Tana also models pages as entities with typed properties and graph context so views and workflow-style filtering can be driven by structured fields.
Data model portability and storage model clarity
Obsidian Publish keeps a Markdown-first vault model and publishes based on vault structure so teams that prefer filesystem-style content can preserve their data model. Logseq runs on local-first plain-text blocks backed by a graph-first model so portability stays aligned with the underlying text storage.
Extensibility via plugins and configurable publishing
Roam Research relies heavily on plugin extensibility and an API tied to page and block structures to drive automation against its graph data model. Obsidian Publish supports repeatable published output through configuration and link-aware navigation based on Markdown pages.
Governance controls using RBAC-style access and audit visibility
Confluence aligns permissions at the space level with org structures and offers audit log visibility for managed access. Notion focuses on workspace administration and RBAC-style permissions with audit visibility across teams, but complex governance may require careful workspace-scoped design.
Capture model suited to real note artifacts
Microsoft OneNote stores ink and typed content on the same page and organizes it into notebooks, sections, and pages for meeting and study workflows. Google Keep centers on lightweight notes with tags, pinned states, and shared collections for quick visual capture inside Google accounts.
A decision framework for picking the right notes system
Start by matching the tool’s data model to the way notes need to behave after capture. If notes must act as structured, queryable records with relations, Notion and Tana fit because properties and relations drive navigation and automation.
Next, map automation needs to API and extensibility scope. If integration must manipulate pages and attachments through documented endpoints, Confluence and Notion align with their REST API and block or database-level automation surface.
Match the data model to how information must be queried
Choose Notion when notes must become queryable records using database properties and explicit Relations for knowledge-graph navigation. Choose Tana when page properties and linked graph context must power structured views and workflow automation, not just freeform indexing.
Verify automation and API scope at the level workflows touch
Pick Confluence when automation needs REST-based content CRUD tied to spaces and pages so scripts can standardize how knowledge gets written and updated. Pick Notion when automation must update at block, page, and database level so templates and provisioning can be handled programmatically.
Check governance fit for the organizational scale
Select Confluence when space-level RBAC maps to organizational structure and audit log visibility is required for access and change tracking. Select Notion when workspace administration and RBAC-style permissions plus audit visibility across teams are needed, and plan governance depth carefully if teams require more than workspace-scoped controls.
Align capture and collaboration model with the note artifacts used daily
Choose Microsoft OneNote for ink and typed content on the same page with notebook section organization, plus full-text search across typed notes and many embedded content types. Choose Google Keep for lightweight shared notes using labels and pinning inside Google accounts when automation and schema-based governance are not central.
Confirm extensibility path for long-term workflows
Choose Roam Research when block-level linking must stay consistent via live backlinks and automation depends on an extensibility ecosystem of community plugins and its API. Choose Obsidian Publish and Logseq when a local-first text model and filesystem-aligned workflows must survive tooling changes and publishing cycles.
Which notes software fits which teams and writing styles
Notes systems split into groups based on whether the data model is queryable, page-hierarchical, or graph-first. They also split based on whether automation and governance are built for team provisioning and audited access.
The segments below map directly to each tool’s stated best fit.
Teams needing schema-like notes that become automatable structured records
Notion fits because pages and databases share structure so notes function as queryable records using properties and Relations. Craft also fits for structured page notes with API-driven updates and page-level permissions that separate authoring from viewing.
Microsoft 365 teams that need notebook-style collaboration with ink and typed content
Microsoft OneNote fits because it stores ink and typed text on the same page while using notebooks, sections, and pages as the primary data model. This structure keeps collaboration aligned to Microsoft 365 identities and shared notebooks.
Organizations that need Jira-linked knowledge capture and REST API automation with space governance
Confluence fits because its REST API supports content CRUD and automation tied to spaces and pages. Its space-level RBAC aligns permissions to organizational structures and keeps audit visibility in the same model.
Individuals or small groups that want graph-linked writing with extensibility and live backlinks
Roam Research fits because inline references produce live backlinks and its API and plugin ecosystem support block-level automation. Logseq fits because it runs local-first with plain-text blocks and a graph-first model for queryable links and properties.
Teams and publishers who want Markdown vault publishing with link-aware navigation and minimal governance overhead
Obsidian Publish fits because publishing flows from an Obsidian vault into a browsable website using link-aware internal navigation. This keeps governance dependent on vault hygiene rather than page-level RBAC.
Pitfalls that derail note automation, governance, and retrieval
Many failed rollouts come from choosing a capture-first model when the workflow needs structured records or governed automation. Others come from selecting graph or local-first tools without verifying RBAC needs or audit visibility requirements.
The pitfalls below are grounded in the concrete limitations and tradeoffs described for the tools in this set.
Choosing tag-only notes when workflows need properties and relations
If the requirement includes property-driven views, schema-like queries, or relation-based navigation, Notion and Tana fit because properties and relations are first-class. Google Keep and Evernote center on lightweight capture and tags, so automation that depends on field-level schema is harder to implement.
Assuming simple markdown transforms can cover automation needs
Notion automation often requires block-level handling rather than simple markdown transforms, so workflows must be designed around block or database operations. Confluence can be easier for script-based automation because its REST API supports content operations tied to pages and spaces.
Ignoring the mismatch between enterprise governance requirements and tool admin controls
Tools like Obsidian Publish and Roam Research do not expose org-grade RBAC and audit log controls for granular governance, so compliance workflows need a different operational model. Confluence is built around space-level RBAC and audit log visibility, and Notion provides workspace administration and RBAC-style permissions with audit visibility across teams.
Overbuilding metadata conventions without a stable automation or schema approach
Confluence can rely on macros and add-ons for custom data models, which means metadata rules may become operationally heavy during bulk edits and migrations. Craft can also require careful conventions for schema-like organization when metadata sets grow large, so teams should define reusable block and page patterns early.
How We Selected and Ranked These Tools
We evaluated Notion, Microsoft OneNote, Confluence, Google Keep, Evernote, Obsidian Publish, Roam Research, Tana, Logseq, and Craft using a criteria-based scoring approach across features, ease of use, and value. Features carry the most weight, followed by ease of use and value in equal shares, so automation, API depth, and governance mechanisms influence the final ranking more than typing comfort or UI preference. We used the provided feature descriptions, standout capabilities, and enumerated pros and cons to place each tool on that scale, without relying on outside hands-on lab testing claims.
Notion stood apart because its database relations let notes link through explicit schemas with property-driven queries, and that capability lifted the features score most through deeper integration and a stronger automation target at database and block levels.
Frequently Asked Questions About Notes Taking Software
How do teams enforce a shared note data model instead of tag-only organization?
Which notes tools support automation through APIs and webhooks for programmatic updates?
What options exist for single sign-on and org-grade security controls in note systems?
How do tools handle data migration from another note system when schemas and attachments differ?
Which platforms provide admin controls that work at space or workspace granularity with visible audit logs?
How do different note systems model linking, backlinks, and cross-page navigation?
Which tool is better suited for capturing page-based notes with rich embedded files and ink?
What integration workflow fits Gmail, Docs, and Calendar capture without building a full automation pipeline?
How do teams recover from common indexing or search issues when note content changes frequently?
Conclusion
After evaluating 10 technology digital media, Notion stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
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