AutoTinker
No liveness check has reached it yet; it is registered on GitHub and PyPI and has been in the index since 10 Oct 2026. How this is checked
AutoTinker is an open-source agent for automated tabular machine learning. It evolves readable scikit-learn pipelines in a sandbox and iterates toward the performance ceiling of a given problem, targeting developers and data scientists.
Inferred · not functionally tested
Overview
6 featuresPurpose: Finding effective tabular machine-learning pipelines without manually testing large numbers of model and preprocessing combinations.
Inferred · not functionally tested
Audience: machine-learning developers and data scientists
Inferred · not functionally tested
Functions: agents, code_generation
Inferred · not functionally tested
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, WEB · deployment: browser, cli, self_hosted
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: autotinker.sakalya.si · github.com. These links do not verify the individual claims.
In the Other data science & ML space, AutoTinker takes a focused approach. Inferred · not functionally tested: It focuses on finding effective tabular machine-learning pipelines without manually testing large numbers of model and preprocessing combinations. Inferred · not functionally tested: AutoTinker is an open-source project aimed at machine-learning developers and data scientists. Basis unknown · not verified: AutoTinker is open source under the MIT license. Basis unknown · not verified: AutoTinker is available on the web and the command line, and it can be self-hosted.
Behind AutoTinker is Sakalya100, based in Slovenia, and it first shipped in 2024. Development happens publicly on GitHub with 94 commits in the last 90 days. Inferred · not functionally tested: Among its 6 catalogued features are pipeline evolution, Tabular ML, and sandbox execution.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Pipeline evolution
- Tabular ML
- Sandbox execution
- Readable pipelines
- Automated model search
- Scikit-learn support
Topics: Inferred · not functionally tested
Built with & integrations
Trust & compliance
Indexing history
1What PulseGate has recorded for this listing
- Indexed10 Oct · 00:00 UTCautotinker seen via PyPI Bulk EnumeratorSource: PyPI Bulk Enumerator · Open
Frequently asked questions about AutoTinker
- What does AutoTinker do?
- Inferred · not functionally tested: AutoTinker focuses on finding effective tabular machine-learning pipelines without manually testing large numbers of model and preprocessing combinations. It is catalogued under Other data science & ML on PulseGate.
- Who is AutoTinker for?
- Inferred · not functionally tested: AutoTinker is an open-source project built for machine-learning developers and data scientists.
- Is AutoTinker free?
- Basis unknown · not verified: Yes — AutoTinker is open source under the MIT license and free to use.
- What platforms does AutoTinker run on?
- Basis unknown · not verified: AutoTinker runs on the web and the command line. It can also be self-hosted.
- Is AutoTinker still active?
- The GitHub repository shows 94 commits in the last 90 days.
- What projects are similar to AutoTinker?
- Similar projects tracked by PulseGate include EMTIOP, eosquality, and tagaudit.EMTIOPeosqualitytagaudit
- Who makes AutoTinker?
- AutoTinker is developed by Sakalya100, based in Slovenia.
- How long has AutoTinker been around?
- AutoTinker first shipped in 2024.
Also in Other data science & ML
Same category — not a similarity match