Radar check
What we found when we opened it. Every bar is one fact, with its date.
Last code pushed 5 Aug 2026, 2 months before this check.
Latest release v2026.08.05 on 5 Aug 2026.
Public since July 2026, 3 months.
11 stars and 2 forks.
6 commits and 0 new issues in the last 90 days.
1 contributor. No pull requests merged in 90 days; changes go in directly. A small team carries it.
No security policy file says how to report a problem. No published security advisories.
How the bars are scored
- Alive. Days since the last code push: a week or less 100, a month 90, three months 70, six months 50, a year 30, eighteen months 15, older 0.
- Releases. Age of the latest GitHub release, on a similar scale; no bar when the project publishes no releases.
- Maturity. Age of the project: eight years 100, five 90, three 70, two 55, one 40, six months 25, younger 10.
- Adoption. Stars on a log scale: 100,000 stars is 100, 10,000 is 80, 1,000 is 60, 100 is 40.
- Activity. Commits in the last 90 days: 300 or more 100, 100 85, 30 65, 10 45, any 25.
- Community. People who have contributed: 100 or more 100, 30 80, 10 60, 5 40, 2 25, one 10.
- Security. A published security policy 80, none 40; published advisories are listed, not scored.
Checked by Repo Radar on 26 Oct 2026 from the repository on GitHub.
In simple English
This repository gives you a clean list of thousands of real personal injury lawsuits from across the United States. Each row shows the state, year, injury type, and dollar amount for a court verdict or settlement. You can download the records as a CSV file to study them in spreadsheet programs or Python. The data is free to use for research or your own projects if you credit the source. It costs nothing to download and needs no special server setup.
What it is
A publicly available dataset containing 17,611 personal injury case results from 1973 to 2026, formatted as CSV and JSON files. It includes helper scripts and documentation so you can load the data directly into data analysis tools.
What it is good for
Solo builders and researchers who need real legal finance data to train models, build legal calculators, or study trends in court payouts.
- Includes over seventeen thousand structured records with states, years, and dollar amounts.
- Available in both CSV and JSON formats for easy loading into Python or Node.
- Published under a CC BY 4.0 licence, making it free for commercial and research use.
- Dataset leans toward notable and high-value awards, so median amounts are much higher than typical everyday claims.
- Requires basic programming or data analysis skills to load and filter the raw files.
- Data must be attributed to SetCalc whenever you use it in public applications.
manual web scraping of legal verdict directories and court record archives
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import pandas as pd url = "https://raw.githubusercontent.com/SetCalc/personal-injury-verdicts-settlements-data/main/data/verdicts-settlements.csv" df = pd.read_csv(url)