Swarmia
Analyze engineering work, AI adoption, developer experience, and software capitalization in Jira.
SwarmiaFree
Minware Data Ingest
by minwareAtlassianFree
Loads Jira data and links tickets with code activity for time-series analysis and reporting.
PRICINGFree
DEPLOYMENTCloud
CATEGORYData and analytics
UPDATED ON MARKETPLACE
What it does
Loads data, traces commit relationships, and connects code with tickets to create a time-series dataset. Reports cover AI tool usage, pull requests, tickets, and other software development lifecycle data. Custom reports can also be created without changing existing workflows.
Key capabilities
from the Atlassian Marketplace listingTime-series data
Builds a historical dataset from loaded data, commit relationships, and links between code and tickets.
AI usage reporting
Provides a dashboard for tracking adoption and use of coding tools including GitHub Copilot, Cursor, Claude Code, and Codex.
Lifecycle data analysis
Analyzes AI usage, pull requests, tickets, and other software development lifecycle data.
Custom reporting
Allows users to create custom reports.
minQL access
Makes the connected dataset accessible with minQL.
Use cases
- Teams can examine adoption of coding tools such as GitHub Copilot, Cursor, Claude Code, and Codex.
- Engineering teams can create reports without changing workflows.
Who it's for
Engineering leaders and software development teams.
How it compares
Minware Data Ingest, Swarmia, and OnPace - Measure AI's Impact are all free cloud listings. Minware Data Ingest was updated in Aug 2025, compared with Swarmia in Mar 2026 and OnPace in Aug 2026.
| Name | Pricing | Deployment | Updated |
|---|---|---|---|
| this plugin | Free | Cloud | |
| Swarmia | Free | Cloud | |
| OnPace - Measure AI's Impact | Free | Cloud |
In the catalog
630 plugins in Jira · Data and analytics
Price distribution: 189 free, 230 freemium, 211 paid
Pricing & deployment
Platform
Atlassian
Product
Jira
Deployment
Cloud
Pricing
Free
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What the vendor says
«minware does all the hard work for you – loading data, tracing commit graphs, and linking code/tickets to build a full-time-series data set (accessible from anywhere with minQL, of course) so you can view your data at any point in the past, and see how each person spent their time with auditable precision …»