The repository collects separate latency-focused demos, including Sift email labeling and Turbo Rerank search ranking. Each app has its own setup: install dependencies in its directory, configure TYPESAFE_API_KEY and run its development command.
jevframe: Semantic AI for pandas and Polars
ktaletsk/jevframe
VerifiedJev applicationDocumented
jevframe: Semantic AI for pandas and Polars: classify text, analyze sentiment, and score DataFrame rows with natural-language questions and full. See Jev references and source code.
Repository description: Semantic AI for pandas and Polars: classify text, analyze sentiment, and score DataFrame rows with natural-language questions and full probabilities using TypeSafe Jev.
Get started
Clone the repository and follow its README for install and usage. JevHunt has not run this project.
git clone https://github.com/ktaletsk/jevframe.gitProject facts
- Relationship to Jev
- Jev application
- Evidence
- Documented
- Language
- Python
- License
- MIT
- Origin
- Original repository
- Repository status
- Not archived
- Created
- 2026-09-18
- Last code update
- 2026-09-24
- GitHub stars
- 21
- Evidence checked
- Sep 29, 2026
- Metadata checked
- Sep 29, 2026
- Check status
- Up to date
Stars measure the whole repository, including work unrelated to Jev.
Evidence and scope
Documented records the linked documentation or source. JevHunt has not independently run or benchmarked this project.
export TYPESAFE_API_KEY='your-key'
Evidence commit: 16bd3eae69b71284a75747fb4bf199b14ba1b075
Discovered through: awesome-jev, typesafe-field-guide.
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