GITNUXSOFTWARE ADVICE
Education LearningTop 10 Best Learning Computer Software of 2026
Top 10 learning computer software for classrooms and training teams, ranking Canvas LMS, Moodle, TalentLMS plus DataCamp, edX, Treehouse.
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
DataCamp is the best fit when training teams need fast, measurable cohort-style practice in data science and coding skills, whereas edX works better for organizations running repeatable, reported learning tracks and certificates across course runs; choose Exercism if you want a free mentor-guided practice path for individuals.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
DataCamp
Exercise-level autograding inside each lesson drives rapid iteration without exporting learners to external tooling.
Built for fits when training teams need fast cohort-based analytics skills practice with measurable completion..
edX
Editor pickCourse-run oriented analytics that ties progress and completion patterns to specific offerings and cohorts.
Built for fits when organizations run repeatable cohorts and need consistent reporting across course runs..
Treehouse
Editor pickBrowser-based project practice that runs inside Treehouse learning units during guided paths.
Built for fits when developer upskilling teams need guided tracks, project practice, and completion reporting..
Related reading
Comparison Table
DataCamp
SMBInteractive courses and assessments for data science, Python, R, and SQL skills.
Exercise-level autograding inside each lesson drives rapid iteration without exporting learners to external tooling.
DataCamp provides lessons built around hands-on coding tasks with automated feedback, so learners iterate without leaving the lesson flow. Content is organized into skill-aligned paths and trackable activities, and it supports group-based assignments that let training teams coordinate completion. Reporting highlights learner progress and outcomes at the assignment and course level, which fits training teams that need evidence of participation and mastery.
A tradeoff appears in deeper LMS-style needs, because DataCamp does not replace full LMS administration for SCORM packages, custom assessments, and granular course publishing pipelines. DataCamp fits situations where training teams need fast skills practice for data roles and want low-friction administration for cohort rollouts, with reporting good enough for internal training metrics.
- +Interactive coding exercises with instant autograding feedback
- +Cohort assignments with learner progress reporting for training teams
- +Structured skill paths for SQL and Python practice
- +Browser-based workflow reduces setup time for learners
- –Limited support for SCORM-style package delivery workflows
- –Integrations and automation depth are thinner than enterprise LMS suites
- –Less control over custom assessment design than LMS-focused tools
- –Workflow customization beyond provided exercise patterns is constrained
Data analytics training teams
Cohort SQL practice with assignments
Higher completion with clear evidence
Junior data scientists
Python fundamentals through guided exercises
Faster skill ramp-up
Show 1 more scenario
Operations analytics upskilling
Role-based data analysis learning paths
More consistent analytics capability
Skill paths structure practice around common analysis workflows and tracked outcomes for managers.
Best for: Fits when training teams need fast cohort-based analytics skills practice with measurable completion.
More related reading
edX
enterpriseUniversity-level courses and professional certificates in computer science and software development.
Course-run oriented analytics that ties progress and completion patterns to specific offerings and cohorts.
edX covers core classroom needs with enrollment workflows, course navigation, assessment experiences, and progress visibility for learners. Administrators can manage cohorts and courses, then review learner activity through reporting views tied to course runs. Staff can reuse learning assets across offerings, which helps when multiple groups train on the same curriculum with different schedules.
A practical tradeoff is that customization depth depends on the available integrations and platform configuration options, so complex LMS extensions may require additional engineering work. edX fits teams that need consistent course delivery across cohorts, then want reporting that ties learner behavior back to specific course runs.
- +Cohort and course-run management supports structured classroom delivery
- +Course analytics track learner progress across multiple offerings
- +Admin controls cover enrollment operations and learner reporting
- +Assessment experiences support measured outcomes within course flows
- –Deep UI or workflow changes may require custom engineering work
- –Advanced learning-data integrations can depend on external reporting routes
- –Third-party tool fit varies by integration type and configuration
Corporate training teams
Run scheduled cohorts for compliance
Faster cohort-level reporting
University departments
Deliver multi-section instructional courses
Consistent section outcomes
Show 2 more scenarios
Learning operations
Standardize assessment and progress tracking
Reduced manual tracking
Admins standardize course experiences and use analytics to monitor learner progress and assessment results.
Partner learning programs
Coordinate catalog-style course delivery
More scalable partner training
Organizations share course experiences across partner cohorts and maintain oversight through course-run data.
Best for: Fits when organizations run repeatable cohorts and need consistent reporting across course runs.
Treehouse
SMBStructured tracks for learning web development, Python, and digital design through video and interactive content.
Browser-based project practice that runs inside Treehouse learning units during guided paths.
Treehouse delivers learning content as structured paths and course units, then measures learner progress through completion milestones and activity tracking inside the learning experience. Browser-based projects let learners apply concepts in the same environment where they watch and practice, which reduces context switching during training. Admin users can create team rosters, assign learning paths to groups, and view completion and engagement reporting.
A tradeoff appears when organizations need SCORM packages, content player customization, or assessment workflows with complex grading rules. Treehouse works best for cohort training where the priority is standardized developer upskilling through guided tracks and completion reporting rather than authoring arbitrary courseware.
- +Guided learning paths keep cohorts aligned on the same sequence
- +Browser-based projects reduce tool switching during practice
- +Team enrollment and assignment support cohort-based rollout
- +Completion and activity reporting covers track progress
- –Limited fit for SCORM-first courseware publishing requirements
- –Advanced assessment design and custom grading are not the focus
- –Custom content creation needs authoring in Treehouse workflows
- –Deeper enterprise governance depends on external systems
Engineering enablement teams
Cohort training for new developers
Consistent skills progression
IT operations teams
Role-based technical upskilling
Higher course completion rates
Show 1 more scenario
Learning and development admins
Standard curriculum rollout
Measurable training outcomes
Manage enrollments and review learner reporting for assigned paths.
Best for: Fits when developer upskilling teams need guided tracks, project practice, and completion reporting.
Codecademy
SMBInteractive platform for learning programming languages and computer skills through hands-on coding exercises.
On-platform coding exercises run in the browser to pair prompts with immediate compile and runtime feedback.
Codecademy mixes guided, in-browser coding lessons with practice exercises built around short feedback loops. The product provides language track paths, project-based assignments, and a progress system that surfaces skill completion at the course level.
Content delivery is focused on interactive coding tasks rather than formal LMS features like SCORM cloud packaging. It is often used for individual skill building and team enablement, while classroom rollout typically relies on external identity and course access controls.
- +Interactive in-browser editor gives immediate feedback during exercises
- +Track-based learning paths map progression through language fundamentals
- +Project assignments require writing code that matches real tooling workflows
- +Progress indicators make it easy to spot completed lessons and stuck steps
- –Limited support for LMS-standard packaging and bulk content publishing
- –Admin controls for cohorts and RBAC are less structured than classroom LMS tools
- –Assessment depth is narrower than dedicated learning management reporting
- –Deep automation and LRS-style learning record exports are not central to the experience
Best for: Fits when teams need interactive code practice for specific skills without a full LMS classroom stack.
Pluralsight
enterpriseTechnology skill assessment and course library for software development, IT, and data professionals.
Skill IQ assessments map learners to a skills model to route them into targeted learning paths.
Pluralsight delivers on-demand technical learning through a structured course catalog and skill-focused learning paths.
It pairs video training with hands-on browser labs and guided practice for roles like engineering and IT operations.
Admin control centers on user groups, role-based access, and reporting that tracks completion and progress across content.
Content publishing and assignment workflows support training teams running blended internal programs.
- +Skill-path curriculum helps align training to role and competency goals
- +Browser-based labs provide practice without separate toolchains
- +Course assignment workflows support cohort-style delivery for teams
- +Reporting covers progress and completion at learner and group levels
- –External authoring and custom content workflows are limited versus LMS-first tools
- –Lab and exercise coverage can feel narrow for niche internal systems
- –SCORM delivery depends on packaging choices that do not fit every legacy workflow
- –Granular RBAC and policy controls require governance discipline to stay consistent
Best for: Fits when technical training teams need role-based paths plus practice labs without building a full LXP stack.
Udemy
SMBMarketplace of on-demand courses covering programming, software tools, and IT skills.
Udemy Business reporting combines course-level completion and activity views across an organization’s learning cohorts.
Udemy is a learning content marketplace plus a learning experience for training programs that need fast catalog access. The course library centers on instructor-led video and quizzes, and it supports role-based access and learning progress tracking inside Udemy Business.
Udemy Business also includes organization-level reporting on course activity, which helps teams compare engagement across teams and departments. Custom internal onboarding still requires more work than full LMS training stacks because Udemy content delivery is built around marketplace courses and instructor uploads.
- +Large catalog of instructor-led courses for rapid training coverage
- +Udemy Business roles and permissions support controlled internal access
- +Learning progress and completion reporting for course engagement visibility
- +Capturable learning outcomes via quizzes and course completion tracking
- –Limited admin workflow for structured curriculum builds compared with LMS platforms
- –SCORM and xAPI-style external LRS learning record needs may not map cleanly
- –Assessments and certifications are course-scoped rather than program-wide
- –Custom content packaging often requires more operational effort outside core flows
Best for: Fits when training teams need quick content coverage and basic governance without building full LMS curriculum workflows.
Coursera
enterpriseOnline courses and degrees from universities and companies covering computer science and software engineering.
Program enrollment and cohort tracking for organizational learning use cases within Coursera’s learning interface.
Coursera combines professional-course catalog delivery with an organizational learning workflow that supports role-based enrollment and structured program tracking. Course pages host quizzes and assignments inside a consistent player experience, while administrators can manage cohorts, completion expectations, and learner access for company use cases.
Instructional content can be authored outside Coursera, then packaged for import, which fits training teams that standardize content before distribution. Reporting centers on learner progress and assessment outcomes at the course level rather than deep SCORM runtime inspection.
- +Catalog-first experience reduces need to build everything from scratch
- +Admin management of learner access and cohort-style program participation
- +Consistent course player supports mixed content like videos and graded assignments
- +Clear course-level reporting for completion and assessment results
- –Course-level reporting limits training teams needing granular activity traces
- –SCORM runtime-style troubleshooting is weaker than SCORM-first LMS tools
- –Deep custom assessments and question authoring requires external authoring workflows
- –Learning governance features like audit visibility can feel limited for large compliance programs
Best for: Fits when teams want catalog-driven training with cohort management and course-level progress reporting.
LinkedIn Learning
enterpriseSubscription library of video courses on software development, IT, and business tools.
Role-based course recommendations tied to member and org context drive targeted learning pathways.
LinkedIn Learning blends an LXP-style content catalog with a corporate directory experience built around member profiles. Courses deliver structured microlearning, with watch tracking, quizzes in select offerings, and team management through admin settings tied to an organization.
Content access works alongside major identity setups via single sign-on and directory-driven user provisioning flows. Reporting focuses on learner engagement and course completion rather than deep assessment item reporting or standards-grade publishing controls.
- +Course discovery and recommendations use learner behavior signals and role context
- +Admin controls support organization-wide access management with SSO and provisioning
- +Learning paths group content into ordered sequences with completion tracking
- +Completion reporting gives teams a clear view of engagement and uptake
- –Custom course publishing and SCORM-style packaging are not the primary model
- –SCORM run-time reporting depth and item-level assessment exports are limited
- –Integration surface centers on sign-in and analytics rather than full LRS-style record plumbing
- –LMS-style enrollment workflows such as cohort calendars require external tooling
Best for: Fits when teams want curated, profile-driven learning with strong completion analytics and enterprise SSO provisioning.
SoloLearn
SMBMobile-first app for learning programming languages through bite-sized lessons and community challenges.
Spaced repetition exercises in the learning paths drive repeat practice on concepts tied to prior answers.
SoloLearn delivers browser-based coding and learning paths with interactive lessons for languages and developer topics. Progress tracking and spaced repetition exercises support retention through quizzes and practice sessions tied to the learner’s activity.
The community feed and peer interactions add discussion around lessons, completed exercises, and shared learning goals. SoloLearn’s offline value is limited because content is primarily delivered through its web experience.
- +Interactive lessons with built-in exercises for common programming languages
- +Spaced repetition quizzes reinforce vocabulary and syntax through repeated practice
- +Community feed supports peer Q&A around lessons and code problems
- +Mobile-friendly learning flow keeps practice sessions short and frequent
- –Limited classroom administration and role controls for training teams
- –No native SCORM or xAPI export for LRS or LMS grade pass-through
- –Assessment depth favors quick checks over formal competency mapping
- –Learner data and analytics stay focused on engagement metrics
Best for: Fits when teams need self-paced practice and discussion for individual developers, not formal classroom reporting.
Exercism
SMBFree coding exercises and mentorship across multiple programming languages.
Mentor review workflows that map feedback directly onto a learner’s specific solution and test outcomes.
Exercism is a coding practice environment that centers on mentor-reviewed programming exercises with guided test suites. Learners pick tracks by language, complete tasks in a local editor, and iterate against example tests provided per exercise.
The workflow relies on community mentorship, with a model that supports feedback loops rather than LMS-style content sequencing. Exercism also includes downloadable exercise materials and exercise runner behavior geared toward repeated practice and revision.
- +Mentor feedback loop tied to specific exercise iterations
- +Language-specific tracks with consistent practice workflows
- +Local-first exercise runner pattern with tests as the control surface
- +Community exercises and maintainable exercise templates
- –Limited classroom admin features compared with full LMS suites
- –Mentor availability can bottleneck throughput for cohorts
- –Assessment reporting is not designed around competency dashboards
- –Exercise content depth varies by language track
Best for: Fits when training teams want mentor-guided coding practice outside LMS course management.
Conclusion
After evaluating 10 education learning, DataCamp 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.
How to Choose the Right learning computer software
Learning computer software spans browser-based practice platforms, cohort-driven course experiences, and mentor or analytics workflows for skills development. This guide covers DataCamp, edX, Treehouse, Codecademy, Pluralsight, Udemy, Coursera, LinkedIn Learning, SoloLearn, and Exercism.
The fit for a classroom or training team often hinges on how each product handles lesson-level practice, cohort tracking, and reporting depth across course runs. DataCamp anchors rapid exercise-level autograding while edX and LinkedIn Learning center program and course-run analytics.
Learning computer software for classroom and training teams
Learning computer software supports guided learning workflows that pair content delivery with measurable learner activity, ranging from in-browser coding exercises to cohort-based course management. DataCamp focuses on exercise-level autograding inside lessons and keeps iteration tight by reporting completion and progress as learners work through units.
For classroom-style reporting and repeated offerings, edX emphasizes course-run and cohort management with analytics tied to specific programs. Treehouse and Codecademy also keep practice inside the learning interface through browser-based projects and immediate compile or runtime feedback, but they prioritize practice workflows over SCORM-first packaging and bulk content publishing.
Learning Computer Software features that determine classroom-grade outcomes
Feature depth should map directly to classroom workflows, including lesson-level practice, cohort assignment, and course-run reporting. The tools that win training-team rollouts connect what learners do inside activities to what managers can track across cohorts.
This guide focuses on practice instrumentation, cohort and course-run tracking, and how each platform handles standards-style packaging expectations. DataCamp leads with exercise-level autograding inside lessons, while edX and LinkedIn Learning emphasize analytics tied to program and course-run participation.
Exercise-level autograding and iteration loops
DataCamp provides exercise-level autograding inside each lesson so training teams can measure completion tied to practice rather than just enrollment. Treehouse delivers browser-based project practice that supports guided paths with completion reporting, but it is less focused on SCORM-style packaging needs.
Cohort and course-run management with reporting
edX centers course-run oriented analytics that tie progress and completion patterns to specific offerings and cohorts. Coursera supports program enrollment and cohort-style tracking within its learning interface, which suits catalog-driven training but limits reporting granularity for item-level activity traces.
Practice workflows built into the learning interface
Codecademy runs prompts in an in-browser editor with immediate compile and runtime feedback to keep learners in one practice loop. Pluralsight uses browser-based labs paired with role-based Skill IQ assessments, which fits training routing without building a full LXP stack.
Governance controls for role-based access and admin workflow
LinkedIn Learning supports organization-wide access management with admin controls and enterprise SSO provisioning. Udemy Business provides roles and permissions for controlled internal access, but its structured curriculum workflow admin depth is thinner than LMS-first classroom tools.
Standards-style packaging and external learning record expectations
DataCamp is limited for SCORM-style package delivery workflows, which matters if courseware must be published in LMS-grade bundles. SoloLearn and LinkedIn Learning also diverge from SCORM-first expectations, while edX is typically the stronger fit when classroom teams need troubleshooting that matches SCORM runtime behavior.
Choose learning computer software by workflow fit, not by content volume
The decision should start with how training teams deliver practice and how managers need to report outcomes across cohorts. Tools optimized for lesson-level practice and autograding support measurement during learning, while cohort-first course runners emphasize repeatable scheduling and reporting.
The second decision axis is integration and automation depth, because training teams often need to route learners, capture activity signals, and coordinate access controls across systems. DataCamp fits teams that prioritize measurable practice inside lessons, while edX and LinkedIn Learning fit teams that prioritize analytics tied to course runs and programs.
Match the platform to the practice and grading model
If completion must reflect exercise correctness, select DataCamp because interactive lessons include autograding feedback inside each lesson. If cohort teams want browser-based projects without deep LMS packaging expectations, Treehouse and Codecademy keep practice inside guided learning units.
Decide whether reporting must track course runs or activity traces
If reporting needs to map progress and completion patterns to specific offerings and cohort participation, choose edX because course-run analytics are course-oriented. If reporting needs to center program enrollment and cohort-style participation, Coursera fits that structure even when granular activity tracing is not the priority.
Pick the product shape for classroom delivery or skill routing
If training programs must route learners into targeted learning paths from assessments, Pluralsight adds Skill IQ assessments and role-based paths. If the goal is targeted learning coverage with permissions rather than curriculum workflow design, Udemy Business can serve that classroom distribution need.
Validate governance controls against your access workflow
If the organization requires enterprise SSO provisioning and organization-wide access management, LinkedIn Learning provides admin controls tied to SSO provisioning. If internal access control is mainly about roles and permissions for business learners, Udemy Business offers role-based access without the LMS-grade curriculum workflow depth.
Test standards-style packaging requirements early
If content must move as LMS-standard packages for structured classroom deployment, DataCamp is a weak match because it supports exercise practice rather than SCORM-style package delivery workflows. If SCORM runtime-style troubleshooting matters for repeat classroom delivery, edX is the safer evaluation target among this set.
Separate self-paced practice tools from mentor or cohort-administration tools
If the training plan is self-paced with built-in learning mechanics like spaced repetition, SoloLearn and Exercism fit individual developers more than cohort administration. If cohort throughput depends on mentor availability, Exercism can bottleneck cohorts because mentor review workflows map to specific iterations.
Who should buy which learning computer software for classroom and training teams
Learning computer software buyers should align tool selection with delivery cadence, practice measurement needs, and admin expectations for cohorts. The strongest fit depends on whether the team wants exercise correctness signals, course-run reporting, or guided project and practice workflows.
The audience segments below map to concrete strengths like DataCamp’s autograding, edX’s course-run analytics, and LinkedIn Learning’s enterprise SSO provisioning.
Training teams running cohort-based upskilling that needs measurable practice completion
DataCamp fits teams that want exercise-level autograding so completion can reflect learner correctness inside each lesson. edX also fits cohort delivery when course-run oriented reporting across offerings is a must.
Developer upskilling teams that want browser-based guided paths and project practice
Treehouse supports guided learning paths with browser-based project practice that reduces tool switching during practice. Codecademy supports on-platform coding exercises with immediate compile and runtime feedback aligned to track-based progression.
Organizations building role-based learning paths from assessments
Pluralsight aligns training to role and competency goals via Skill IQ assessments that route learners into targeted learning paths. Udemy Business supports controlled internal access with roles and permissions when the priority is coverage distribution rather than custom curriculum workflow design.
Enterprise training teams that require SSO-based access management
LinkedIn Learning supports enterprise SSO provisioning and organization-wide access management controls. Coursera provides admin management for learner access and cohort-style program participation but focuses reporting at the course level.
Teams managing training throughput that can accommodate mentor review bottlenecks
Exercism provides mentor feedback loops mapped to specific exercise iterations, which supports high-signal practice for cohorts. That mentor dependency can bottleneck throughput compared with systems that grade exercises automatically.
Common buying mistakes with learning computer software deployments
Buyers frequently mis-match platform shape to classroom workflow, which produces gaps in reporting, packaging expectations, or admin governance. The most common failures show up when teams assume every tool supports LMS-standard delivery workflows or assumes analytics deliver the same granularity.
The pitfalls below map directly to how DataCamp handles lesson autograding versus how edX and LinkedIn Learning handle course-run and program analytics, plus how several platforms limit SCORM-first packaging expectations.
Selecting a practice-first platform without checking SCORM-style package delivery needs
DataCamp is limited for SCORM-style package delivery workflows, so teams needing LMS-standard bundle publishing often hit friction. Treehouse and Codecademy also prioritize practice workflows over bulk content publishing for SCORM-first requirements.
Overestimating course-run analytics when item-level activity traces are required
Coursera’s course-level reporting can be too shallow when training teams need granular activity traces. SoloLearn offers self-paced practice without native SCORM or xAPI export for LRS or LMS grade pass-through, which blocks some reporting architectures.
Assuming admin governance depth matches an LMS classroom suite
LinkedIn Learning supports enterprise SSO provisioning and organization-wide access management, but it is not built for custom course publishing and SCORM-style packaging as its primary model. Udemy Business supports roles and permissions, but its admin workflow for structured curriculum builds is less developed than LMS platforms.
Choosing mentor-based practice for large cohorts without throughput modeling
Exercism mentor review workflows map feedback to specific solutions and test outcomes, but mentor availability can bottleneck cohort throughput. DataCamp avoids that bottleneck by focusing on exercise-level autograding feedback inside lessons.
Skipping differentiation checks between self-paced practice and classroom reporting requirements
SoloLearn and Exercism fit individual developer practice more than formal classroom administration and role controls. edX and Treehouse better match classroom delivery patterns when teams need cohort alignment and consistent reporting across offerings.
How We Selected and Ranked These Tools
We evaluated DataCamp, edX, Treehouse, Codecademy, Pluralsight, Udemy, Coursera, LinkedIn Learning, SoloLearn, and Exercism using feature coverage at 40% weight and ease of use and value at 30% weight each. We scored how strongly each platform ties practice to measurable outcomes through exercise-level autograding, browser-based projects, cohort or course-run reporting, and admin controls.
We prioritized iteration speed mechanisms like DataCamp’s exercise-level autograding feedback inside lessons because training teams can adjust cohorts based on measurable completion and progress. DataCamp earned the top rank with an overall score of 9.2 Because its features score reached 8.9 And its ease score reached 9.3 While value reached 9.5, Which supported training-team practice measurement without pushing learners into external tooling.
Frequently Asked Questions About learning computer software
How do DataCamp and Codecademy differ in how learners get feedback during coding practice?
When should a training team choose edX over Coursera for cohort-based delivery and reporting?
Which tool is better for IT and operations training paths that require role-based access controls, Pluralsight or Treehouse?
How do Canvas LMS, Moodle, and TalentLMS typically handle integrations and APIs compared with content-first platforms like Udemy and LinkedIn Learning?
What breaks if a classroom team requires strict single sign-on provisioning and audit trails, and uses only LinkedIn Learning or SoloLearn?
When does course content packaging matter more for Moodle or TalentLMS than for learning libraries like Coursera?
How do admin controls differ between edX and Udemy Business for managing learner enrollment and visibility?
Which tool best supports measurable cohort completion tied to structured practice loops, DataCamp or Treehouse?
What tradeoff appears when training teams need mentor-reviewed coding feedback in Exercism instead of LMS course management in Moodle?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
Keep exploring
Comparing two specific tools?
Software Alternatives
See head-to-head software comparisons with feature breakdowns, pricing, and our recommendation for each use case.
Explore software alternatives→In this category
Education Learning alternatives
See side-by-side comparisons of education learning tools and pick the right one for your stack.
Compare education learning tools→