Team leads
See how long pull requests take from opening to merge and who changes the code most often. Use the data to discuss delays and how work is shared across the team.
Engineering analytics for team leads and managers
Engineering analytics for GitHub, GitLab and Bitbucket
Track pull request merge times, analyze DORA metrics and forecast project completion. Connect a repository and try basic analytics for one developer free for 7 days.
7-day demo for one developer profile. No card needed. Register, sync a repository and choose the profile to try.
commitlaneFICTIONAL DATAEXAMPLE TEAM
From code to merge
Merged PRs414 Commits
Time to merge11hAverage · creation → merge
Authors3Authors of these PRs
Time per pull requesth
Add project activity endpoint
8
Handle retry after rate limit
26
Keep filters when navigating
4
Improve keyboard navigation
6
One pull request took 26 hours to merge. The number alone cannot explain the delay; check the pull request history to find out more.
Select example/api or example/web to see the numbers for that repository.
Walk through this calculationWho uses it
What you can learn about your team’s work
Engineering managers
See how often the team deploys, how many deployments cause failures and how quickly services recover. Show leadership how delivery speed and reliability are changing.
Product owners
See when the team could finish a project. Compare forecasts for different sets of tasks to decide what to include in a release and which date to plan for.
Getting started
How to get your first results
Connect a repository, sync its history and open analytics for your chosen developer.
01
Connect a repository
Create an account, connect GitHub, GitLab or Bitbucket and choose a repository. Integration settings explain the required token permissions.
02
Wait for the data and activate the demo
Run synchronization from the integration card. Once it finishes, open Profiles and select one developer for the 7-day demo.
03
Open your analytics
Choose dates and a repository. Review commits, pull request counts and average time to merge. Check the numbers against the history in GitHub, GitLab or Bitbucket.
What you get
From code changes to project timelines
Connect GitHub, GitLab or Bitbucket to see commits and pull requests. Add CI/CD, incident tracking and a task tracker for release analytics and completion forecasts.
Pull request analytics and time to merge
See how many pull requests the team has opened, how many have merged and how long they took. Filter by date, repository or author.
Data: a repository and its pull request history.
How PR merge time is calculatedDORA metrics for release speed and reliability
DORA metrics show deployment frequency and the time from first commit to production. Connect incident data to also see the share of failed deployments and how long recovery takes.
Data: CI/CD and incidents linked to deployments.
How DORA metrics are calculatedProject completion forecasts
Forecast completion dates using the remaining tasks and your team’s pace. See how adding or removing tasks changes the dates, with several estimates and their probabilities.
Data: project tasks and the team’s completion rate, from history or entered manually.
How project forecasting worksAI usage analytics (beta)
See how the team uses AI assistants and compare groups of developers. Estimates of AI’s contribution are still approximate; limitations are explained alongside the metrics.
Requires: connected AI tools and comparison data.
AI analytics methodologyAccess and data
What we connect to, and what we read
You choose the repositories to sync. Analytics uses Git events; technology detection also reads the file tree and selected dependency and configuration files.
Your current stack
GitHub, GitLab and Bitbucket for Git analytics. Add work tracking, CI/CD and incident integrations separately.
Access within your team
Roles and team membership determine data access. Access to individual profile analytics also depends on selected subscription seats.
Protecting connection tokens
Provider tokens are encrypted before storage and are not displayed again. Grant only the permissions required by your chosen workflow.
Demo
What the 7-day demo covers
Explore one developer’s analytics using your own repository data before paying for access.
7 days
The clock starts when you activate the demo. Start after the first sync so you can use the period to check the data.
One developer seat
Choose one developer in Profiles. The demo opens analytics for that profile, rather than every profile in your team.
No card, core analytics
No payment details are needed to activate the demo. There is no automatic charge when the demo ends.
After registration: Settings → Integrations → sync → Profiles → activate the demo for your chosen developer.
Pricing
Choose developer profiles and an access period
One seat opens analytics for one selected developer profile. Each card shows the full-period price for one seat, with its monthly equivalent below.
Per seat
The base price is — per seat per month with monthly billing. Multi-month plans are charged for the full selected period.
Payments and renewal
Payments are in RUB through YooKassa. Subscriptions support automatic renewal with a saved payment method; you can turn renewal off.
7-day demo
Core analytics for one developer seat, no card required.
1 month
—
— per seat / month
No discountBilled every 1 month(s)
3 months
—
— per seat / month
Save 5%Billed every 3 month(s)
6 months
—
— per seat / month
Save 10%Billed every 6 month(s)
12 months
—
— per seat / month
Save 15%Billed every 12 month(s)
The total depends on how many seats you select. A paid plan opens analytics for every selected developer profile. Public offer: Public Offer
Questions
What people ask before connecting anything
The demo opens basic analytics for one selected developer profile for 7 days. Register and sync a repository first, then choose the profile in Profiles. No card is needed and there is no charge when the demo ends.
We read commit, PR and review metadata: authors, dates, changed file paths and line counts. Technology detection also reads the file tree and selected dependency and configuration files, such as package.json and Dockerfile. This analysis does not download a complete copy of the repository source texts.
After connecting a provider, select a repository and run synchronization. Duration depends on history volume and provider limits. The integration card shows its status; once complete, you can verify the available metrics.
Commits and pull requests alone cannot measure productivity. They don’t capture discussions, help given to colleagues or work that leaves no code changes. Git activity time is not working time, and scores are estimates. Consider the results of the work and what the team has to say.
Deployment frequency requires production events; lead time also needs the first commit of the change. Change failure and recovery metrics require linked incidents. Scope data to a service; a Git connection alone cannot supply all these metrics.
Yes, at any time. The period you have already paid for stays active until its end date, and nothing is charged after that.
Commitlane is currently available as a cloud service only. If you need to run it on your own servers, contact us and tell us about your requirements.
Explore your repository’s analytics
Connect a repository and choose a developer. You get 7 days to explore their commits and pull requests and decide whether Commitlane fits your team. No card required.
Contact
Discuss your first setup
Tell us the question you want to answer, your team size and the tools you use. We will reply to the address you leave.
What to include
For example: “We have 12 developers, use GitLab and Jira, and want to understand why reviewing and merging changes takes so long.” You don’t need to send tokens or source code.