Broadcom/rally-rest-toolkit-python

Python Toolkit for Rally

Owned by Broadcom

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Broadcom/rally-rest-toolkit-python has 90+ stars and 70+ forks on GitHub, is written in Python, and was last pushed on Jan 2, 2026. Data as of . Signed-in members get hourly updates — create a free account.

Summary Information

Updated 36 minutes ago
Added to GitGenius on October 10th, 2026
Created on January 26th, 2012
Open Issues & Pull Requests: 25 (+0)
GitHub issues: Enabled
Number of forks: 77
Total Stargazers: 93 (+0)
Total Subscribers: 9 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 3.2 days
Mean response time: 13.1 days
90th percentile: 26.2 days
Tracked items: 15

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Issue Activity (beta)

Open issues: 19
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 1,594 days
Stale 30+ days: 0
Stale 90+ days: 0

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

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Detailed Description

pyral is a Python toolkit for interacting with the Rally REST API.

The toolkit solves the problem of programmatically accessing and manipulating data stored in Rally subscriptions. It provides a Python wrapper around Rally's REST web services API that uses JSON, enabling developers to create, read, update, and delete artifacts and other entities without needing to work directly with HTTP requests or JSON parsing. The approach abstracts the REST API behind Python object models, allowing developers to navigate relationships between entities through simple attribute access rather than making explicit API calls.

Developers should adopt this toolkit if they need to automate workflows or integrate Rally data with other Python-based systems. It suits projects that require bulk operations, data migration, or programmatic access to Rally artifacts. The toolkit handles common use cases like iterating over related objects, where accessing an attribute on a returned object automatically fetches dependent data without requiring separate API calls.

The project is no longer actively supported as of the end of the year, which is a significant consideration for new adoption. Developers should evaluate whether they can maintain the codebase independently or whether an actively maintained alternative better suits their needs. The most recent release has been tested with specific versions of the requests dependency, and the toolkit can be installed via standard Python package management tools.