dataforge-sba
No liveness check has reached it yet; it is registered on GitHub and PyPI and has been in the index since 12 Oct 2026. How this is checked
dataforge-sba is a local-first Python toolkit for data science learning and notebook generation. It helps learners and developers create educational, reproducible notebooks while keeping workflows on their own machines.
Inferred · not functionally tested
Overview
5 featuresPurpose: Learning data science and creating reproducible notebooks without relying on hosted services.
Inferred · not functionally tested
Audience: data science learners and Python developers
Inferred · not functionally tested
Functions: Unknown
Interfaces: API: unknown · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)
Recorded constraints: pricing: open_source · license: MIT · platforms: CLI · deployment: cli, self_hosted
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: pypi.org · github.com. These links do not verify the individual claims.
dataforge-sba is an Other data science & ML project. Inferred · not functionally tested: It focuses on learning data science and creating reproducible notebooks without relying on hosted services. Inferred · not functionally tested: It is built as an open-source project for data science learners and Python developers. Basis unknown · not verified: dataforge-sba is open source under the MIT license. Basis unknown · not verified: It ships for the command line, and it can be self-hosted.
Behind dataforge-sba is Selim Ben Ali, and it first shipped in 2026. The project is developed in the open on GitHub with 2 commits in the last 90 days. Inferred · not functionally tested: Among its 5 catalogued features are notebook generation, data science lessons, and machine learning exercises.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Notebook generation
- Data science lessons
- Machine learning exercises
- Local-first workflows
- Reproducible notebooks
Topics: Inferred · not functionally tested
Built with & integrations
Trust & compliance
Indexing history
1What PulseGate has recorded for this listing
- Indexed12 Oct · 14:40 UTCdataforge-sba seen via PyPI Bulk EnumeratorSource: PyPI Bulk Enumerator · Open
Frequently asked questions about dataforge-sba
- What does dataforge-sba do?
- Inferred · not functionally tested: Dataforge-sba focuses on learning data science and creating reproducible notebooks without relying on hosted services. It is catalogued under Other data science & ML on PulseGate.
- Who is dataforge-sba for?
- Inferred · not functionally tested: dataforge-sba is an open-source project built for data science learners and Python developers.
- Does dataforge-sba have a free plan?
- Basis unknown · not verified: Yes — dataforge-sba is open source under the MIT license and free to use.
- What platforms does dataforge-sba run on?
- Basis unknown · not verified: dataforge-sba runs on the command line. It can also be self-hosted.
- Is dataforge-sba still active?
- The GitHub repository shows 2 commits in the last 90 days.
- What are alternatives to dataforge-sba?
- Similar projects tracked by PulseGate include nkscape, titrages, and Latris.nkscapetitragesLatris
- Who develops dataforge-sba?
- dataforge-sba is developed by Selim Ben Ali.
- When did dataforge-sba launch?
- dataforge-sba first shipped in 2026.
Also in Other data science & ML
Same category — not a similarity match