Software advice
Best AI Engineering Analytics Software in 2026
AI engineering analytics software connects to source control, issue trackers and CI/CD systems, turns that activity into delivery metrics such as cycle time and DORA, and now also measures how much AI coding tools are used, what they cost and whether delivery changes. It is not a code editor, a code review bot or a time tracker.
Quick answer
Swarmia ranks first because its per-developer prices, free tier for small teams and SOC 2 claim are printed. LinearB suits teams that want workflow automation and a long trial. GitClear suits buyers who want AI-versus-human code attribution at a low price.
An engineering director who buys one of these tools usually has two questions at once. The old one is whether delivery is getting faster or slower. The new one is whether the money spent on AI coding assistants shows up in the numbers. Every vendor page now promises both, plus a chat assistant and an MCP connector for Claude or Cursor. The pages say far less about price at scale, where the data sits and whether customer code trains any model. This ranking weighs printed prices, the depth of AI measurement the vendor itself describes, data handling statements, and how much of the product sits behind a sales call. We read vendor pages in November 2026 and ran no product ourselves.
The 13 best AI engineering analytics software in 2026, ranked
There is no score. Vendors can pay for more visibility on this website, for example a higher place in a ranking or more room on a page. Commercial relationships can also affect which products we feature and how prominently. How we rank.
| # | Tool | Best for | Free plan | Entry price |
|---|---|---|---|---|
| 1 | Swarmia | Growing engineering teams that want printed prices, modular add-ons and AI adoption tracking | Yes | $45 per developer per month billed annually for Standard |
| 2 | LinearB | GitHub teams that want metrics plus workflow automation, AI code review and a 45-day trial | Trial | $29 per user per month billed annually for Essentials |
| 3 | Axify | Mid-size teams that want AI cost tracking and a stated Canadian server location | Trial | $29 USD per contributor per month billed annually for Pro |
| 4 | GitClear | Teams that want line-level proof of what AI wrote, at the lowest printed per-seat price here | Yes | $14.95 per contributor per month billed annually for Pro |
| 5 | Jellyfish | Engineering leaders who report to finance and need allocation, capitalization and AI spend in one suite | No | Quoted |
| 6 | Hatica | Small and mid-size teams that want DORA, wellbeing and stand-ups at a low per-member price | Yes | $19 per member per month for Pro |
| 7 | Plandek | Delivery leaders who want 500-plus metrics and a benchmark against other teams | No | $25-$55 per contributor per month |
| 8 | Allstacks | Larger organizations that want US or EU hosting choice and software cost capitalization | Yes | $400 per contributor per year for Growth |
| 9 | Waydev | Teams that want AI ROI reporting and an AI assistant that avoids external model APIs | Trial | Quoted |
| 10 | Middleware | Teams that want DORA metrics free and are willing to deploy the Community plan themselves | Yes | $39 per user per month billed annually for Standard |
| 11 | Faros | Organizations spending heavily on AI coding tools that want token spend and model routing analysis | No | Quoted |
| 12 | Haystack | Small delivery teams that want Slack-based risk alerts and status updates on Jira and Git | Trial | $20 per member per month with annual commitment for Growth |
| 13 | Apache DevLake | Engineering teams with data skills that want to own the pipeline and build SQL dashboards | Yes | Quoted |
- 1
Swarmia ranks first because a buyer can cost it out. The pricing page shows a free tier for companies with up to nine developers, Standard at $45, Enterprise at $55 and separate modules from $5, and the footer names SOC 2 Type 2. It also lists AI adoption and cost metrics and an MCP connector. The trade-offs are annual-only prices and no stated hosting region.
Strong on
- Modules are priced separately, from $5 for AI adoption and cost to $23 for productivity and AI impact
- Swarmia MCP lets Claude or Cursor query engineering data directly
- Free tier for companies with up to nine developers lets small teams start without a quote
Weak on
- Only annual prices are shown, and the privacy page states no hosting region
- Free plan excludes Swarmia AI and HR system integrations
Skip it if: Buyers who need a named EU or US data region, or monthly billing, since neither is stated on the pages read. Free covers up to 9 developers. Standard and Enterprise show annual prices only, with a demo call to action.
- 2
LinearB ranks second because it does more than report. gitStream routes risky pull requests to code owners, AI code reviews run on every pull request, and the security page states SOC 2 Type II and ISO 27001. A 45-day trial is the longest in this list. The ranking stops short of first because Essentials is limited to GitHub Cloud and a 50-user minimum.
Strong on
- gitStream merges low-risk changes automatically and routes risky ones to code owners
- Security page states SOC 2 Type II and ISO 27001 certification
- 45-day trial with no credit card gives time to test on a real team
Weak on
- Essentials covers GitHub Cloud only and requires at least 50 billable users
- Extra AI credits on Essentials cost $0.015 each and AI retros need Enterprise
Skip it if: Teams on GitLab, Bitbucket or Azure DevOps, or groups under 50 developers, who cannot buy Essentials. Essentials needs 50 billable users and GitHub Cloud. Enterprise is $59 per user with a 100-user minimum.
- 3
Axify ranks third because Pro at $29 bundles AI adoption, AI cost projection, DORA, value stream metrics and MCP access in one printed price. The privacy policy states servers in Canada. It sits below LinearB because SOC 2 and ISO 27001 are not mentioned and SSO, audit log and unlimited MCP usage are held back for Enterprise.
Strong on
- Pro includes AI adoption, AI cost with end-of-quarter projection and AI impact analytics
- Privacy policy states servers in Canada, with a stated MCP connector that stores no prompts
- A 14-day trial needs no credit card, so a pilot can start without procurement
Weak on
- SSO, single-tenant encryption and audit log are Enterprise only
- SOC 2 and ISO 27001 are not mentioned on the pages read
Skip it if: Security teams that require SSO or an audit log without negotiating an Enterprise contract. Pro is billed per active contributor with a 14-day trial and no free plan. Enterprise is quote-only.
- 4
GitClear ranks fourth because it answers the AI question most directly: lines are tagged to the model that wrote them and compared with human work. Pro is the cheapest paid plan in this list at $14.95 annual, and the security page states ISO 27001 and SOC 2. It ranks below the top three for narrower team-health coverage and no stated maker or headquarters.
Strong on
- Line-level attribution covers Claude, Copilot, Cursor, Codex, Augment and Gemini API output
- Security page names ISO/IEC 27001:2022 and SOC 2, with a no-cache setting for code
- Pro at $14.95 annual undercuts every other printed paid entry price here
Weak on
- Starter caps at 3 repositories, 2,000 commits and a 6-month window
- Legal entity and headquarters are not stated on the pages read
Skip it if: Managers who mainly want sprint health, surveys and planning views rather than code-level analysis. Pro is $29 on monthly billing. Starter is free with 3 repositories and a 6-month window.
- 5
Jellyfish ranks fifth as the strongest option for finance-facing reporting. DevFinOps covers software capitalization and R&D tax credits with SOC 1 Type II, and AI Impact tracks adoption and token spend across Claude Code, Cursor, Copilot and others. It is held back by quote-only pricing, no trial and a model-training statement that covers third-party providers only.
Strong on
- DevFinOps module covers software capitalization, investment allocation and audit-ready reports
- AI Impact module tracks adoption and token spend across several coding assistants
- Jellyfish Assistant answers plain-language questions with root-cause explanations
Weak on
- No prices published, and cost depends on seats and chosen modules
- Privacy policy says third-party model providers get no personal data for training, but not whether Jellyfish models train on it
Skip it if: Small teams that want to see a price and start a trial the same afternoon. Quote only, based on seats and modules. The pricing page names no free plan or trial.
- 6
Hatica ranks sixth as a low-cost option with a real free plan, unlimited members and data sources, and a ladder up to Enterprise with a private cloud. Pro at $19 adds DORA, velocity and SSO. It sits lower because no certification is claimed, data is processed in the United States, and its AI claim is a short phrase on the homepage.
Strong on
- Free plan allows unlimited team members and data sources with DevEx surveys
- Pro at $19 includes DORA, velocity, wellbeing dashboards, Events API and SSO
- Enterprise offers self-hosted or private cloud with 5 years of history
Weak on
- No SOC 2 or ISO 27001 claim appears on the pages read
- Org-level metrics, exports and HRMS integrations start on Business
Skip it if: Buyers who need a stated security certification or a measured view of AI coding tool impact. Pro and Business ($29) are per member and shown monthly. Free keeps one month of history.
- 7
Plandek ranks seventh. The platform prints a range of $25 to $55 per contributor, lists 500-plus metrics and offers custom API access, and the free AI Impact Report benchmarks AI spend against 2,500-plus teams. The range hides the real price, retention is capped at 180 days, and the data-store FAQ on the pricing page has no answer.
Strong on
- More than 500 configurable metrics with unlimited dashboards and repositories
- Free AI Impact Report benchmarks adoption, token use and spend against 2,500-plus teams
- Custom API access brings in third-party data sources
Weak on
- Price depends on contract length and license count, so no single entry price exists
- Data history is capped at 180 days on the pricing page
Skip it if: Teams that need a hosting region, a certification or a price they can confirm without a sales contract. Published as a range that varies with contract length and licenses. A free AI Impact Report is a one-off snapshot.
- 8
Allstacks ranks eighth. It prints yearly prices of $400 for Growth and $600 for Enterprise, offers US or EU hosting from Growth, and sells software capitalization on its own for $200. The free Starter is a planning product rather than delivery analytics, the privacy policy allows aggregated data to be disclosed, and the paid tier has no trial.
Strong on
- Growth and Enterprise offer multitenant or single-tenant US or EU hosting
- Standalone software cost capitalization costs $200 per contributor per year
- AI coding impact view links tool and token usage with delivery metrics and cost
Weak on
- Free Starter covers Product Studio planning, not delivery analytics
- Privacy policy permits disclosure of de-identified or aggregated data without restriction
Skip it if: Small teams that want a free delivery dashboard or a trial before talking to sales. Starter is free but covers product planning. Enterprise is $600 per contributor with a 100-contributor minimum.
- 9
Waydev ranks ninth. Premium lists AI Adoption, AI Impact and AI ROI, and the page says Waydev Brain runs a 15B model without sending inference to external model APIs. The security page names SOC 3. It ranks lower because all three plans are custom quotes, the Pro page shows an unexplained $899 figure and Teams survey delivery is still marked coming soon.
Strong on
- Waydev Brain answers questions on engineering data without external model APIs, per the page
- Premium adds AI Adoption, AI Impact and AI ROI with API access
- Git folders are copied for analysis, deleted in real time and stats purged on disconnect
Weak on
- No amounts are published, and the $899 figure under a quote label is unexplained
- Microsoft Teams survey delivery is marked coming soon
Skip it if: Buyers who need a printed price to compare plans, or a SOC 2 or ISO 27001 statement. Pro, Premium and Enterprise are custom quotes billed annually per active contributor. Pro also shows an unexplained $899.
- 10
Middleware ranks tenth. Community gives DORA metrics at no cost, and Standard at $39 adds project insights, AI Reports and Slack automations. The gaps are real: Community has low integration priority and issue-based support, SOC 2 Type 2 is named only for Enterprise, and no API is listed. At $39 Standard costs more than several tools above it.
Strong on
- Community plan provides DORA metrics at $0 for teams that deploy it themselves
- Standard adds AI Reports, Project Roadmap and Slack automations
- Project Flow Metrics show work stalled, carried over or dropped across sprints
Weak on
- Community has low integration priority and GitHub Issue support only
- SOC 2 Type 2 is named for Enterprise only, and no API is listed
Skip it if: Teams that need a hosted free plan with vendor support or a certification on a mid-tier plan. Community is $0 and self-deployed. Standard shows no monthly price. Enterprise is a quote.
- 11
Faros, formerly Faros AI, ranks eleventh because it is a specialist. The product observes token spend, optimizes model routing on the customer's own code history and sets policy guardrails, with free Desktop and Playground entry points. The core platform is quote-only and consumption-based, and legal entity, headquarters and security details were not stated on the pages read.
Strong on
- Optimal Model Routing chooses models by performance on the customer's own code
- Faros Playground lets buyers explore with illustrative data and no sales call
- Observe, Optimize and Govern modules cover token spend, waste and policy
Weak on
- Core platform is quote-only with a billing unit that the page does not state
- Security page was linked but not read, so certifications are unverified
Skip it if: Teams that want classic cycle time and sprint dashboards at a printed per-seat price. Core platform is consumption-based and quote-only. Faros Desktop and Playground are free.
- 12
Haystack ranks twelfth. Growth at $20 per member bundles unlimited alerts, 12 months of history and support, and Risks and Pulse push alerts and status updates into Slack. The security page says it does not persist source code. It ranks low because only two plans exist, no certification is mentioned, no API is listed and the only AI feature named is release notes.
Strong on
- Risks and Pulse send risk alerts and status updates straight into Slack
- Security page says source code files are not persisted, only metrics and metadata
- Growth includes unlimited alerts and 12 months of history for $20
Weak on
- Only AI Release Notes is named as an AI feature, with no model or data detail
- On-premise and custom integrations are available on the quote-based Enterprise tier only
Skip it if: Teams wanting AI adoption measurement, a published API or a stated certification. Growth suits teams under 100 engineers and includes 12 months of history. Enterprise is custom.
- 13
Apache DevLake ranks last in this list because it is a toolkit, not a managed product. It consolidates data from Jira, GitHub, GitLab, Jenkins and other tools, ships prebuilt dashboards and lets you write metrics in SQL, with no license fee. The pages name no AI feature, no hosted plan or support, and the project is still incubating.
Strong on
- Plugins cover Jira, GitHub, GitLab, Bitbucket, Jenkins, GitHub Actions and GitLab CI
- Custom metrics and dashboards can be written in SQL against your own data
- Open-source project, so the pages read list no license fee or per-seat price
Weak on
- Still an incubating Apache project and not yet a top-level project
- No AI feature, hosted plan or support tier is named on the pages read
Skip it if: Managers without engineers to run infrastructure, or who want AI adoption reports out of the box. Open-source project. The pages read list no plans, prices, hosted service or support tier.
How these AI engineering analytics software were judged
How well do these tools measure the impact of AI coding tools?
Measurement depth varies more than the marketing suggests. GitClear attributes individual lines to the model that wrote them and flags folders where AI-assisted code correlates with more defects. Swarmia and Axify report adoption, activity and cost per team and compare them with delivery metrics. LinearB and Waydev add AI code review or an assistant on top. Faros focuses on token spend and model routing, while Plandek sells a one-off AI impact report. Apache DevLake names no AI feature. Ask each vendor to show a team where adoption rose and a delivery metric did not move.
What does engineering analytics software cost per developer?
As of November 2026, published entry prices run from $14.95 to $45 per person per month. GitClear Pro is $14.95 billed annually, Hatica Pro $19, Haystack Growth $20, Axify Pro $29, LinearB Essentials $29, Middleware Standard $39 and Swarmia Standard $45. Plandek shows a $25 to $55 range, and Allstacks lists $400 per contributor per year. Jellyfish, Waydev and Faros publish no amounts. Check minimums: LinearB Essentials needs 50 billable users and Enterprise 100, while Allstacks Enterprise needs 100 contributors.
Where do engineering analytics tools store your code metadata?
These tools read pull requests, commits and ticket data, and several clone repositories temporarily. LinearB states SOC 2 Type II and ISO 27001, GitClear states ISO 27001 and SOC 2 with US hosting in Seattle, and Swarmia names SOC 2 Type 2. Axify states servers in Canada, and Allstacks offers US or EU hosting on Growth and above. Waydev says its AI runs without external model APIs. Most privacy pages we read did not say whether customer data trains models, so ask for that answer in writing before connecting private repositories.
How hard is it to leave an engineering analytics platform?
History is the asset you lose. Retention windows differ widely: Plandek lists 180 days, Hatica 1 month on Free and 2 years on Business, Haystack 12 months, Allstacks 2 years on Growth, and GitClear up to 5,500 days on Elite. Data export is often a higher-tier feature, such as Hatica Business or Allstacks Enterprise, and Axify gates unlimited export to Enterprise. Annual billing is common. Apache DevLake sits at the other end, because the data lives in a database you own. Before signing, ask what you can export on the plan you are buying.
Which engineering analytics tool fits your team size and stack?
Match the tool to the audience for the numbers. A company with fewer than ten developers can start on Swarmia Free or Hatica Free. A team on GitHub Cloud that wants merge automation and AI review looks at LinearB. Organizations running several coding assistants and wanting line-level attribution look at GitClear. Finance-driven buyers who need software capitalization look at Jellyfish, Allstacks or Swarmia. Teams with engineers to spare and a data warehouse can run Apache DevLake. Check that your issue tracker is on the vendor's integration list before booking a demo.
How to choose an AI engineering analytics platform in three steps
- Decide who will read the numbers. Write down whether the audience is team leads, the engineering director or finance. Team leads need cycle time and review delay in a dashboard they open weekly. A director needs benchmarks and trends across teams. Finance needs software capitalization or investment allocation that survives an audit. Most vendors sell all three, but only one is usually strong. Pick the tool whose plan page lists your audience's feature on the plan you can afford, and ignore modules that nobody will open after the first month.
- Connect one real team to two trials. Choose a team of ten to twenty developers on your actual stack and connect it to two trials at once. LinearB offers 45 days, while Axify and Haystack offer 14. Compare how many of your repositories and issue types import correctly, how long the first dashboard takes, and whether the cycle time numbers match what the team believes. If a number looks wrong, ask the vendor how it is calculated. A tool that cannot explain a metric will not survive a manager's challenge.
- Ask four questions about data and cost. Ask where the data is stored, whether any model is trained on it, whether source code is copied or only metadata is read, and what the total cost is at your headcount including minimums. LinearB states 50 and 100 user minimums, and Allstacks requires 100 contributors for Enterprise. Get answers in an email you can forward to security. Then compare the three-year cost of the two finalists, including any module you will need for AI measurement and any retention or export upgrade that history requires.
Frequently asked questions
What is the best AI engineering analytics software in 2026?
Swarmia ranks first in this list because its prices are printed, a free tier covers companies with up to nine developers, and it names SOC 2 Type 2. LinearB ranks second for workflow automation and a 45-day trial, and Axify third for Canadian hosting and a printed $29 entry price. Rankings reflect vendor pages read in November 2026.
Is there a free engineering analytics tool for a small team?
Yes, several. Swarmia is free for companies with up to nine developers, though without HR integrations and its AI assistant. Hatica Free keeps one month of history, GitClear Starter caps at three repositories, and Middleware Community is $0 but self-deployed. Apache DevLake is open source. Allstacks Starter is free, but it covers product planning rather than delivery analytics.
How do these tools measure AI coding assistant adoption?
They read usage and activity from the assistants or from repositories and compare it with delivery metrics. Swarmia and Axify offer adoption and cost modules, Waydev lists AI Adoption, AI Impact and AI ROI on Premium, and Jellyfish lists token spend. GitClear instead tags lines of code to the model that wrote them. Ask each vendor which assistants it reads from.
Do engineering analytics tools read my source code?
It depends on the vendor. Waydev says it copies a Git folder for analysis, deletes it in real time and persists no code. LinearB deletes temporary repository clones after processing metadata. Haystack says it does not persist source code files. GitClear offers a cached-code setting with no cache, two weeks or three months. Check the security page of the tool you shortlist.
Which tools publish prices and which ask for a quote?
Swarmia, LinearB, Axify, GitClear, Hatica, Haystack, Middleware and Allstacks print at least one price. Plandek prints a $25 to $55 range, because the final rate depends on contract length and licenses. Jellyfish, Waydev and Faros do not publish amounts for their core platforms. Enterprise tiers are quote-only at most vendors.
Can I ask these tools questions from Claude or Cursor?
Several offer an MCP connector. Swarmia MCP connects to Claude, Cursor and other MCP clients. LinearB lists an MCP server for Claude, ChatGPT and Cursor, and Axify names connectors for Claude and ChatGPT. Axify limits MCP access by a token quota on Pro and lifts it on Enterprise. Others offer only an in-product assistant.
What is the difference between DORA dashboards and AI impact reports?
DORA dashboards track delivery speed and stability, using deployment frequency, lead time, change failure rate and recovery time. AI impact reports add a second axis: how much developers use coding assistants, what the tokens cost and whether delivery or quality changed with adoption. Swarmia, Axify and Hatica cover DORA, and the AI layer varies by vendor.
Is Apache DevLake a real alternative to paid tools?
It is a real alternative for teams with engineers who can run a data pipeline and write SQL dashboards. DevLake is an incubating Apache project with plugins for Jira, GitHub, GitLab, Jenkins and others. The pages we read named no AI feature, no hosted plan and no support tier, so expect to build more yourself.