GITNUXSOFTWARE ADVICE
Data Science AnalyticsTop 10 Best Cash Flow Modeling Software of 2026
Top 10 cash flow modeling software ranking with criteria and tradeoffs for planning teams, including Trovata, Dryrun, and LiveFlow.
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%
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Trovata is the best fit if you need governed, open-banking cash forecasting with automated refresh and traceability for finance teams, while Dryrun is a strong entry when you want controlled, repeatable scenarios, and LiveFlow works best if your models must stay tied to live accounting data for multi-entity review.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Trovata
Cash flow modeling that links debt and working capital schedules into a single rollforward workflow for recurring scenarios.
Built for fits when finance teams need governed cash flow forecasts with automated refresh and traceability..
Dryrun
Editor pickModel collaboration with input ownership and versioned iterations to keep direct-method cash logic consistent across forecast cycles.
Built for fits when finance teams need controlled, repeatable cash forecasts with collaboration and scenario reruns..
LiveFlow
Editor pickOperational workflow around cash drivers that keeps scenario runs tied to repeatable model configuration.
Built for fits when finance teams need controlled, repeatable cash forecasts across entities with scenario-driven reviews..
Related reading
Comparison Table
Cash flow modeling software matters because forecasting depends on repeatable data models, reliable accounting integration, and controls that keep scenarios auditable as inputs change. This ranked list targets analysts and operators who need concrete comparison criteria across spreadsheet-linked workflows, API-driven automation, and enterprise treasury modeling, with the ordering based on integration depth and model governance rather than marketing claims.
Trovata
enterpriseAutomated cash flow forecasting and cash management platform using open banking APIs.
Cash flow modeling that links debt and working capital schedules into a single rollforward workflow for recurring scenarios.
Trovata supports cash movement forecasting using driver-based inputs tied to real ledger structures. The model can roll forward the balance sheet with working capital and debt schedules that connect to cash outcomes, which reduces manual reconciliation work between statements. For operational planning, repeated scenario analysis is practical when forecast horizons are refreshed regularly from source feeds.
A tradeoff appears in governance design when many business units contribute drivers, because consistent mappings require disciplined ownership of chart-of-accounts alignment. Trovata fits situations where finance teams need a governed workflow that updates forecasts on a schedule and provides traceability from transactional inputs to modeled cash flows.
- +Driver-driven cash and working capital schedules tied to ledger structures
- +Scenario runs stay consistent across balance sheet and cash movement logic
- +API and connectors support automated refresh workflows
- +Audit trail supports tracing modeled outputs back to inputs
- –Chart-of-accounts mapping discipline is required for clean multi-entity results
- –Advanced configuration can require specialist attention for complex entities
- –Some modeling behaviors depend on connector data quality from upstream systems
- –Large driver libraries can slow navigation without strong naming conventions
FP&A and treasury teams
Quarterly cash forecast with debt schedules
Faster covenant-ready cash views
Finance ops automation teams
Automated forecast refresh via API
Reduced manual rebuild effort
Show 1 more scenario
Multi-entity accounting teams
Multi-entity cash forecasting with elimination logic
Less intercompany reconciliation work
Standardize mappings across entities so cash schedules roll forward consistently across the group.
Best for: Fits when finance teams need governed cash flow forecasts with automated refresh and traceability.
More related reading
Dryrun
SMBCash flow forecasting and budget modeling tool for small businesses and accountants.
Model collaboration with input ownership and versioned iterations to keep direct-method cash logic consistent across forecast cycles.
Dryrun is a fit for teams that need repeatable cash forecasting with fewer spreadsheet breaks, especially when multiple owners contribute inputs. The tool supports multi-step cash rollforwards with explicit schedules for working capital and debt activity, which helps standardize the link between balance sheet movement and cash movements. Scenario analysis is built around changing model inputs and re-running the cash outputs to compare outcomes. The collaboration model supports versioned iterations so teams can track changes across forecast cycles.
A tradeoff appears in model depth customization, because very specific waterfall structures and exotic cash sweep rules can require more manual mapping inside the model than in tools with dedicated cash management modules. Dryrun works best when forecast cadence depends on consistent driver updates and when governance around who changed inputs matters for audit trail expectations. Teams that already live in spreadsheets may need a short transition period to move logic into Dryrun’s modeling structure.
- +Driver-first cash modeling reduces ad hoc spreadsheet rebuilding
- +Structured working capital and debt schedules improve forecast traceability
- +Scenario analysis reruns keep comparisons consistent across cycles
- +Collaboration workflow supports controlled iteration of forecast models
- –Highly specialized cash management rules can need extra modeling work
- –Some advanced scenario reporting requires manual formatting
- –Model migration from complex Excel logic can take time
- –Connector coverage may limit automation for niche source systems
FP&A teams
Quarterly cash forecast with scenarios
Faster consistent forecast cycles
Treasury operations
Working capital and debt cash planning
Clearer liquidity planning
Show 2 more scenarios
Finance analytics
Multi-owner model governance
Lower risk of logic drift
Multiple contributors manage inputs inside versioned model states to reduce conflicting spreadsheet edits.
Controller teams
Forecast refresh with audit trail
More defensible forecast assumptions
Structured model updates preserve an audit-friendly change history for forecast assumptions and derived cash outputs.
Best for: Fits when finance teams need controlled, repeatable cash forecasts with collaboration and scenario reruns.
LiveFlow
SMBCash flow modeling platform connecting spreadsheets to live accounting data.
Operational workflow around cash drivers that keeps scenario runs tied to repeatable model configuration.
LiveFlow is a strong fit for teams that need repeatable cash forecasting runs with controlled assumptions and documented changes. The tool is structured around building forecast logic once and reusing it across rolling forecast horizons and scenario sets, which reduces manual rebuilds. It also supports multi-entity workflows and consolidation-style rollups so cash forecasts can be aligned at group level.
The main tradeoff is that LiveFlow favors structured planning workflows over fully custom spreadsheet logic, so edge-case schedules may require a workaround or additional mapping effort. LiveFlow works best when cash drivers and schedules change on a predictable cadence, such as monthly close to planning cycles.
- +Structured driver-based cash planning reduces repeated spreadsheet rebuilds
- +Multi-entity cash rollups support group-level forecasting and alignment
- +Configurable scenario sets speed variance-focused review cycles
- +Exports support recurring stakeholder reporting workflows
- –Highly bespoke cash logic can need extra mapping to fit the workflow
- –Rolling horizon updates require discipline to keep inputs consistent
- –Deep model customization can be slower than direct spreadsheet edits
- –Complex intercompany rules add effort when schedules differ by entity
FP&A managers
Monthly rolling cash forecast
Faster variance explanations
Treasury teams
Debt schedule driven cash planning
More reliable cash planning
Show 2 more scenarios
Corporate finance analysts
Working capital cash reconciliation
Cleaner cash movement tracking
Transforms working-capital assumptions into cash impacts for month-end reporting alignment.
Finance operations teams
Multi-entity cash consolidation rollup
Consistent group-level visibility
Consolidates entity-level forecasts into a group cash view for leadership review.
Best for: Fits when finance teams need controlled, repeatable cash forecasts across entities with scenario-driven reviews.
More related reading
Float
SMBCash flow forecasting software that integrates with accounting platforms to project future cash positions.
Transaction-level cash forecasting driven by integration-fed updates and editable timing inputs inside the modeling workspace.
Float delivers cash flow modeling through spreadsheet-like planning workflows that connect to accounting data feeds and keep forecasts synchronized with real transactions. The workflow supports driver-based planning at the line-item level, including working capital schedules and transaction timing controls.
Scenario work and rolling forecast horizon management are handled via editable model inputs rather than separate planning forms. Automation is centered on integrations and reusable import logic, which reduces manual re-keying compared with standalone budgeting spreadsheets.
- +Transaction timing controls map cleanly to cash movement for near-term planning.
- +Integration-driven cash updates reduce re-keying risk across forecast iterations.
- +Driver-based line planning supports bottom-up cash build without custom formulas.
- +Scenario comparisons are practical for iterative cash planning cycles.
- –Discounted cash flow modeling and Monte Carlo simulation are not positioned as core engines.
- –Advanced debt schedules and covenant compliance testing require careful manual structure.
- –Multi-entity consolidation and intercompany elimination need disciplined setup.
- –Complex balance sheet rollforward logic can become harder to audit than pure cash models.
Best for: Fits when finance teams need near-term cash forecasting with transaction-level timing and automated data refresh.
Cash Flow Frog
SMBCash flow forecasting tool that connects to accounting software for automated projections.
Scenario modeling built around structured cash-flow assumptions and schedule-linked rollforwards.
Cash Flow Frog models multi-period cash flow plans from structured assumptions and outputs forecasted cash positions for operating and funding decisions. The tool supports scenario modeling and driver-style inputs so teams can compare outcomes across different assumptions and change sets.
Cash Flow Frog also emphasizes working-capital and cash-flow linking so the model rolls forward consistently as schedules update over the forecast horizon. Reporting focuses on forecast outputs and variance-style views rather than only ad-hoc spreadsheet exports.
- +Driver-based input design keeps assumption changes traceable
- +Scenario modeling supports side-by-side cash outcome comparisons
- +Working-capital and debt schedule style modeling supports consistent rollforwards
- +Forecast outputs are organized around cash position and funding needs
- –Complex model build can require careful upfront structure
- –Integration options for external systems are not as broad as enterprise CPM suites
- –API and automation surface are limited compared with products built for orchestration
- –Advanced optimization and simulation workflows can require external tooling
Best for: Fits when finance teams need scenario-driven cash flow forecasts without building a custom spreadsheet model.
Calxa
SMBBudgeting and cash flow forecasting software for nonprofits and small businesses.
Model refresh automation that preserves scenario comparability during rolling forecast horizon updates.
Calxa targets cash flow modeling teams that need structured scenario work and repeatable forecasting cycles. It supports driver-style modeling inputs, scenario comparison, and schedule-based cash build outputs that can feed multi-scenario views.
Calxa’s core value shows up when models must be adjusted across rolling horizons and reviewed for variance between plan runs. Calxa also supports automation through integrations that reduce manual spreadsheet stitching during monthly model updates.
- +Scenario runs stay comparable because inputs and outputs follow the same structure
- +Schedule-oriented modeling supports debt and working capital style cash build patterns
- +Integration surface reduces manual steps when refreshing data for new forecast cycles
- +Rolling horizon updates support recurring monthly planning workflows
- –Advanced modeling requires stronger configuration discipline than spreadsheet-only teams
- –Some accounting alignment workflows still need external reconciliation for consistency
- –Large multi-entity consolidation workflows can feel slower than single-entity planning
- –API coverage for niche data sources may require custom connectors
Best for: Fits when finance teams run frequent scenario and rolling-horizon cash forecasts that must stay auditable across model refreshes.
More related reading
Fathom
SMBFinancial analysis and reporting platform with cash flow forecasting modules.
Model templates with versioned updates for consistent rolling cash outlook reporting across entities.
Fathom focuses on cash flow modeling workflows built around live collaboration and repeatable reporting, not just workbook authoring. It provides a structured model builder for forecasting operations and changes in cash through scheduled inputs and scenario toggles.
Teams can reuse templates across entities and versions to keep rolling forecasts consistent over time. Automation support centers on integration hooks and update cycles that reduce manual reconciliation between the forecast and downstream reports.
- +Repeatable forecast models that reduce workbook rebuilds across reporting cycles
- +Template-based entity reuse helps keep multi-entity numbers aligned
- +Scenario toggles make it easier to publish comparable cash outlook views
- +Collaboration workflow supports shared ownership of forecast assumptions
- –Complex three-statement rollforward mapping needs careful manual alignment
- –Advanced driver setups can require more configuration than typical spreadsheet models
- –API coverage for edge-case data sources may be thinner than specialized FP&A tools
- –Audit controls are not as granular as enterprise planning suites
Best for: Fits when finance teams need faster collaborative cash forecasting with reusable templates.
Kyriba
enterpriseEnterprise treasury management platform with cash flow forecasting and liquidity modeling.
Treasury workflow governance for modeled cash positioning, with RBAC and audit trail tied to forecast scenarios.
Kyriba is used for cash flow modeling with a focus on enterprise treasury workflows rather than standalone planning spreadsheets. It supports driver-style forecasting with scheduled data inputs, then applies scenario analysis to produce cash positioning views over a rolling horizon.
Integration depth is a core differentiator, with API connectivity and data-pipeline patterns that reduce manual rework between bank feeds, ERP balances, and model outputs. Governance is handled through role-based access, audit trails, and workflow controls that keep multi-entity forecasts consistent across teams.
- +API-driven data integrations reduce manual spreadsheet copying for forecast inputs
- +Scenario analysis outputs support cash positioning reviews against multiple planning cases
- +Multi-entity forecasting supports consistent rollforward across legal entities
- +Audit trail and RBAC support internal controls around forecast edits
- –Model configuration requires governance discipline to keep assumptions aligned
- –Complex cash flow structures take more implementation time than simpler forecasting tools
- –Some modeling flexibility depends on how source systems provide standardized schedules
- –Large scenario libraries can slow planning cycles without careful configuration
Best for: Fits when treasury teams need controlled, API-connected cash forecasting across many entities.
More related reading
Anaplan
enterpriseAnaplan supports enterprise financial models with scenario analysis, driver-based planning, and cash flow forecasting.
Plan-level calculations can be automated with model actions that recompute dependent schedules and push outputs to dashboards for controlled, role-based review.
Anaplan builds driver-based cash flow models using a connected planning data model that supports multi-entity rollups and scenario comparisons. Forecast outputs can be computed from scheduled drivers like working capital components, debt balances, and cash movement logic, then reviewed across time horizons and cases.
Model automation comes through built-in actions, calculated logic, and extensibility via APIs and integrations that feed planning inputs from external systems. The governance layer supports role-based access, audit visibility for changes, and controlled publishing so modeled cash outcomes stay consistent across teams.
- +Driver-based modeling supports scalable cash flow structures across entities
- +Scenario planning and what-if comparisons run directly on shared model data
- +API and integration options support external feeds for cash drivers and schedules
- +RBAC controls restrict access to model views, actions, and published states
- –Rolling forecast logic needs careful configuration to avoid circular dependency patterns
- –Live spreadsheet-style workflows require intentional design to fit into Anaplan actions
- –Deep cash accounting nuances can take significant modeling time versus simpler templates
- –Large driver libraries increase governance overhead for change management
Best for: Fits when finance teams need multi-entity cash forecasting with scenario workflows and governed collaboration.
Runway
SMBRunway provides financial planning for startups with cash forecasts, runway calculations, scenarios, and operating metrics.
Assumption-to-scenario linkage that preserves drivers and recalculates projections when inputs change.
Runway is a cash flow modeling tool centered on scenario-ready financial planning workflows rather than spreadsheet-only modeling. It supports driver-based cash forecasting inputs and combines them into repeatable projections across periods.
Runway’s workflow design emphasizes structured model assembly, versioning of working projections, and exporting results for review cycles. Governance is oriented around role-based access to workspaces and audit-oriented activity history for model edits and scenario changes.
- +Scenario workflows that keep assumptions attached to projections
- +Driver-based inputs that reduce manual rework across forecast periods
- +Workspace permissions that restrict model visibility and edits
- +Export formats that fit common finance review and consolidation steps
- –Limited native depth for complex covenant compliance testing
- –Model extensibility depends on integration add-ons for advanced automation
- –Some cash flow templates require more setup than a blank-grid model
- –Audit trail granularity may not meet strict controls for regulated close
Best for: Fits when finance teams need repeatable scenario forecasts with controlled editing and fast review cycles.
Conclusion
After evaluating 10 data science analytics, Trovata 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 cash flow modeling software
Cash flow modeling software turns cash drivers into forecast outputs using governed assumptions, repeatable schedule logic, and scenario reruns. This buyer's guide covers Trovata, Dryrun, LiveFlow, Float, Cash Flow Frog, Calxa, Fathom, Kyriba, Anaplan, and Runway with a focus on how each tool keeps cash logic consistent across forecast cycles.
The evaluation emphasizes integration depth, automation and API surface, and administrative controls that affect auditability and change control. Trovata is highlighted for linking working capital and debt schedules into a single rollforward workflow for recurring scenarios, while Kyriba is highlighted for treasury workflow governance with RBAC and audit trail tied to forecast scenarios.
Cash flow modeling software for driver-based forecasts, schedule rollforwards, and scenario planning
Cash flow modeling software builds forward-looking cash statements by translating assumptions into schedules, then rolling those schedules into repeatable cash movement and balance sheet outcomes. Tools like Trovata connect driver-driven cash and working capital schedule logic to debt schedule structures inside one rollforward workflow for recurring scenarios.
Some platforms also emphasize collaboration and iteration controls by versioning model inputs and reruns, such as Dryrun with input ownership and versioned iterations for direct-method cash logic. Other systems focus on operational workflow around cash drivers, like LiveFlow, where scenario runs remain tied to a repeatable model configuration across entities.
Governed cash logic, integration, and automation controls that hold across scenarios
Cash flow modeling software needs more than forecast math. It needs repeatable schedule logic that stays consistent when scenarios rerun and inputs refresh.
Schedule-linked rollforward workflows for debt and working capital
Trovata links driver-driven cash and working capital schedules into a single rollforward workflow that keeps recurring scenarios consistent. This is paired with Driver-first schedule logic that stays aligned with debt schedule structures.
Driver-first collaboration with versioned input ownership
Dryrun keeps direct-method cash logic consistent across forecast cycles using input ownership and versioned iterations. This supports controlled, repeatable reruns without forcing teams back into ad hoc spreadsheet rebuilding.
Operational scenario workflows tied to repeatable model configuration
LiveFlow centers scenario runs on an operational workflow around cash drivers that preserves repeatable model configuration across entities. Multi-entity cash rollups support group-level forecasting and alignment during scenario-driven review.
Transaction-level timing controls with integration-fed updates
Float drives near-term cash forecasting with transaction-level timing inputs inside the modeling workspace. Integration-fed cash updates reduce re-keying risk across forecast iterations.
Template-driven multi-entity reuse with consistent rolling outlooks
Fathom uses model templates with versioned updates to keep rolling cash outlook reporting consistent across entities. Template-based entity reuse reduces workbook rebuilds and helps keep multi-entity numbers aligned.
Treasury governance with RBAC and audit trail tied to scenarios
Kyriba provides treasury workflow governance that ties RBAC and audit trail to forecast scenarios. API-driven data integrations also reduce manual spreadsheet copying for forecast inputs.
Match modeling philosophy to governance depth, integration surface, and forecast cadence
The decision starts with how cash logic is supposed to change over time. Some tools optimize for schedule rollforward consistency while others optimize for transaction timing and near-term visibility.
Choose schedule rollforward consistency if debt and working capital must move together
If forecasting depends on keeping debt and working capital schedules aligned inside one cash movement workflow, prioritize Trovata. This tool ties driver-driven cash and working capital schedules to ledger-linked rollforward logic for recurring scenarios.
Choose collaboration and versioning controls if multiple owners change assumptions
If teams need input ownership and versioned iterations for direct-method cash logic, prioritize Dryrun. It reduces repeat rebuild work by keeping driver-first modeling consistent across forecast cycles.
Choose multi-entity scenario workflows if group planning needs operational repeatability
If scenario runs must stay tied to a repeatable model configuration across entities, prioritize LiveFlow. Multi-entity cash rollups support group alignment during scenario-driven reviews.
Choose transaction timing and integration-fed refresh for near-term cash planning
If near-term forecasting relies on transaction-level timing controls and automated data refresh, prioritize Float. Integration-driven cash updates map directly into cash movement timing without re-keying forecast inputs.
Choose template reuse if standardization across many entities matters more than bespoke logic
If the main bottleneck is workbook rebuild effort across reporting cycles, prioritize Fathom. Template-based entity reuse and versioned template updates keep rolling cash outlook reporting consistent.
Choose treasury-grade governance if RBAC and scenario audit trail are required
If forecast governance needs RBAC enforcement and audit trail tied to scenario changes, prioritize Kyriba. API-driven integrations reduce manual copying when forecast inputs arrive from external systems.
Which teams get the most from governed cash flow modeling
Different teams fail in different ways when cash logic is inconsistent across forecast cycles. Cash forecast owners need governance so changes remain traceable while planners need repeatable scenario runs.
FP&A teams building recurring scenarios with debt and working capital alignment
Trovata fits finance groups that need governed cash forecasts where working capital and debt schedule rollforward logic stays consistent across recurring scenarios.
Finance teams that split assumption ownership across model contributors
Dryrun fits teams that require input ownership and versioned iterations so scenario reruns preserve direct-method cash logic while multiple owners contribute changes.
Group finance organizations coordinating cash driver reviews across multiple entities
LiveFlow fits organizations that need multi-entity cash rollups and operational scenario workflows that keep scenario runs tied to repeatable model configuration.
Treasury teams that need scenario-governed access control with integration-fed inputs
Kyriba fits treasury planners that require RBAC and audit trail tied to forecast scenarios while using API-driven data integrations to reduce manual spreadsheet copying.
Near-term cash planners prioritizing transaction timing visibility
Float fits forecasting teams that need transaction-level timing inputs and integration-fed cash updates to reduce re-keying during short rolling horizons.
Common failure modes when adopting cash flow modeling software
Cash flow modeling software often breaks down when the workflow is under-specified or when model logic is not mapped to the organization’s chart of accounts structures. The failures show up as drifting numbers across reruns or governance gaps during scenario changes.
Mapping the chart of accounts too loosely and causing multi-entity rollforward misalignment
Trovata requires chart-of-accounts mapping discipline for clean multi-entity results, so early mapping workshops prevent downstream inconsistencies.
Treating specialized cash management rules as plug-and-play across forecast cycles
Dryrun can require extra modeling work when highly specialized cash management rules apply, so complex rules should be prototyped in a controlled scenario run before rollout.
Using a schedule governance tool for rolling horizons without input consistency controls
LiveFlow rolling horizon updates require discipline to keep inputs consistent, so review checkpoints should be built into the scenario workflow.
Expecting discounted cash flow modeling and Monte Carlo simulation from a tool that centers transaction timing
Float is not positioned as a core discounted cash flow engine or Monte Carlo simulator, so teams needing those engines should validate tool fit against scenario and schedule requirements.
Assuming complex covenant compliance logic will be available without careful structure
Tools that support scenario-focused cash positioning still need careful manual structure for advanced covenant compliance testing, so a covenant test harness should be part of implementation planning.
How We Selected and Ranked These Tools
We evaluated Trovata, Dryrun, LiveFlow, Float, Cash Flow Frog, Calxa, Fathom, Kyriba, Anaplan, and Runway by scoring features at 40%, ease at 30%, and value at 30%. Feature depth focused on how each product keeps cash logic consistent across scenario reruns, including schedule-linked workflows, driver-first modeling, and multi-entity rollups.
Ease assessed how quickly teams can maintain inputs and rerun scenarios without rebuilding spreadsheet logic each cycle. Trovata ranked highest because it links debt and working capital schedules into a single rollforward workflow for recurring scenarios, which keeps scenario logic consistent across balance sheet and cash movement outcomes.
Frequently Asked Questions About cash flow modeling software
How do PlanGuru, Host Analytics-style treasury tools like Kyriba, and Anaplan handle multi-entity cash rollups and scenario comparisons?
Which tools provide APIs or connector-based automation for refreshing modeled cash schedules from upstream systems?
How does data migration work when moving cash flow logic from spreadsheets into Runway or Float?
What breaks if working capital schedules and debt schedules are modeled in separate processes instead of a single rollforward workflow?
When teams need direct method cash flow views, how do Dryrun and Float differ in building and maintaining those views?
How do Dryrun, Fathom, and Cash Flow Frog support scenario analysis without manual spreadsheet edits?
Where does Kyriba’s security and governance differ from Anaplan’s collaboration controls for cash forecasting changes?
How does each tool handle reconciliation between modeled outputs and downstream review cycles for stakeholders?
Which tool choices work best for teams that need audit-oriented traceability of model edits and scenario changes?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
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