Turn Git Data into Actionable Insights

Track dead-end commits, review delays, and bug surges. minware transforms Git data into insights so you can improve performance.
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Coding Time Before/After Review
PR Lead Time for Changes
AI Chat
Time Spent on Bugs

Improve your development lifecycle end-to-end

Quality

Track bug rates, time-to-fix, and more to address quality issues at their source.

Efficiency

Look at cycle times, task sizes, and more to uncover hidden bottlenecks.

Predictability

Compare ticket, sprint, and project progress to plans and pinpoint delivery risks.

Value

See where engineering time went to track effort vs. value delivery.

Answer real questions with minware’s report library

Net Bugs

How much are bugs costing us?

Monitor bug creation rate and bug backlog growth on the Bug Management Board.
Never Merged Rate

How much work never merges?

See how much time engineers spend on dead ends with the Merge Success Dashboard.
Substantive Review Rate

How robust is our code review?

Track the consistency, speed, and thoroughness of code reviews on the Review Practices Dashboard.
See Your Data

Debug bottlenecks with ease

Debug bottlenecks with ease

Zoom in with minware’s full work timeline to see exactly what happened and why.
minware builds the timeline from Git, ticket, and meeting data using our patent-pending time model – no time tracking required.
Read about minware’s time model >

Break down metrics by any historical field

Break down metrics by any historical field

All reports are fully editable with minware’s report builder.
Break down metrics like PRs merged or active work time by any current or historical field (e.g., PR approval or ticket label).
minware natively stores the complete history of every field (including custom fields and labels) for seamless end-to-end visibility.
See report builder live >

Customize any metric with minQL

Customize any metric with minQL

Skip the Jira cleanup – all metrics are fully editable with minQL formulas.
Access any field from any source (including custom CSV/JSON uploads) with a full suite of database functions for total control and flexibility.
minQL also supports advanced SQL features like time-series joins and window functions.
Read the minQL docs >

Integrate with any source and front end

Integrate with any source and front end

minware integrates with popular Git, ticket, and calendar systems, as well as any custom CSV/JSON format.
View reports in minware’s dashboards, download CSV, or connect to any tool with our minQL-based ODBC driver.
See all integrations >
GitHub
Azure
Jira
Google
CSV/JSON
More
Data Ingest
Identity Linking
Time Modeling
Performance Caching
Time-Native minQL Engine
minware Dashboards
CSV Export
BI Tools
Headless ODBC

Enterprise flexibility, security, and performance

We designed minware from the ground up for Fortune 500 customers to handle homegrown systems, fragmented tools, large orgs, and secure environments.

Dynamic Table Caching

The patent-pending minQL engine dynamically caches tables for on-the-fly custom metrics with instant results for millions of rows.

Custom Data Integration

Integrate seamlessly with any structured or semi-structured data source including flat file uploads and custom APIs. Read more >

Identity/Team Management

minware automatically normalizes aliases across all your systems and supports multi-level team structure imports in any format. Read more >

Role-Based Access Control

Easily control team and invidual data access permissions for minware users based on their role and team membership. Read more >

On-Premise Ingest Agent

The on-premise ingest agent uploads files to a shared storage bucket. You maintain full control over keys and data. Read more >

AICPA SOC 2 Type 2 Certified

minware is SOC 2 Type 2 compliant. Learn more and access the full SOC 2 report from our security documentation.

Frequently Asked Questions

What does minware offer that GitHub, GitLab, Bitbucket, or Azure DevOps dashboards do not?

Platform-native dashboards only show activity within that tool. minware combines Git, ticketing, and CI/CD data to provide a unified view of engineering work across systems. This includes GitHub developer metrics, Bitbucket pull request metrics, and GitLab analytics dashboards with context like ticket flow, unplanned work, and code review depth. The result is full visibility that connects code to actual business value.

Can minware help us track Git metrics across multiple teams and repositories?

Yes. minware can consolidate Git metrics across repositories, and teams into a single reporting layer. It calculates GitHub PR metrics, review latency, and throughput with breakdowns by team, service, or sprint. This avoids the manual effort of aggregating Git project statistics or maintaining Git report generators.

How does minware improve PR analytics and pull request statistics?

minware captures data on PR lifecycle stages, including time to review, review depth, rework rate, and merge success. These PR analytics go beyond what platform-native dashboards offer by linking pull requests to associated tickets and deployments. The result is actionable metrics for improving review processes and reducing delivery risk.

How does minware help with engineering performance visibility in Git-based workflows?

minware provides engineering performance metrics based on Git activity, review behavior, and deployment data. It reveals delivery bottlenecks, inefficient review loops, and time spent on rework. This allows teams to improve throughput and maintain quality in fast-moving environments.

Can minware analyze organizational Git metrics for compliance and governance?

Yes. minware supports metrics at scale, including PR activity by team, time-to-merge tracking, and review compliance across repositories. This is especially useful for teams enforcing secure development lifecycles or looking to standardize reporting tools across large organizations.

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