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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Effortlessly answer any question with rich, trustworthy data.

What's my Token Cost by Project ?

Start from pre-built reports and industry benchmarks.

How much are bugs costing us?

Monitor bug creation rate and bug backlog growth on the Bug Management Board.

How much work never merges?

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

How robust is our code review?

Track the consistency, speed, and thoroughness of code reviews on the Review Practices Dashboard.
Browse all pre-built reports

Create your own insights with minware's AI data models.

Create your own insights with minware's AI data models.

minware's rules-based, machine learning (ML), and large language (LLM) data models make it easy to build advanced insights without having to start from scratch.
Our models cover text classification (prompts, tickets, reviews, tool commands, etc.), cost attribution, historical timeline reconstruction, identity resolution, and more.
Easily extend or customize any model for your organization with Snowflake Cortex AI.

View and customize any data lineage step with minQL.

View and customize any data lineage step with minQL.

Easily configure metrics to fit how your organization works – no process changes required.
minware's semantic layer is fully transparent and customizable with minQL. The minQL query language offers the expressivity of Snowflake database functions in a concise syntax that simplifies joins, aggregation, and complex logic.
Learn about customizing minQL

Save your tokens and leave the rest to us.

Get trustworthy insights faster with our data infrastructure.
Agents are great at a lot of things – enterprise-grade data quality, performance, and security are not among them.

Automated Caching & Orchestration

The minQL engine dynamically materializes tables and orchestrates updates so your results are always fresh and fast for millions of rows.

Standard Data Modeling & Benchmarks

minware provides pre-built models for common use cases like time allocation, cost attribution, DORA workflow efficiency, Agile and more.

Vendor Data Linking & Normalization

minware normalizes and links AI usage, pull requests, tickets, and more with advanced heuristics for unstructured relationships.

Error Handling & Recovery

minware handles errors caused by vendor API issues, schema updates, data anomalies, and more so your data is available 24/7.

Identity Resolution

minware reconciles names, emails, and user IDs across all vendors and matches them to multi-level team structure from any source.

Role-Based Access Control

Easily control team and individual data access permissions for minware users based on their role and team membership.

On-Premise Ingest Agent

For added security, the on-premise ingest agent runs locally and uploads data to minware. You maintain full control over keys and data.

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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