Free
Free
Open-source project; site instructs installing via pip with no paid tier listed.
- Access
- Open-source project; site instructs installing via pip with no paid tier listed.
Assistant · Vendor site 2026-10-04
SapientML is an open AutoML research project that learns from existing datasets and human-written ML pipelines to synthesize high-quality predictive pipelines for new tabular tasks. It emphasizes fast search over plausible pipelines, transparent generated code, and strong accuracy on benchmark tasks.
Data scientists and ML engineers experimenting with automated pipeline generation and reproducible AutoML from academic research code.
Public site focuses on research software and docs rather than a hosted SaaS with managed compute quotas.
SapientML generates machine learning pipelines by learning from prior human-written solutions, aiming for fast, explainable, and accurate model building through open-source APIs.
What it can do
Unknown is different from unavailable. Each fact carries its own evidence.
| Capability | Value | Evidence | Checked |
|---|---|---|---|
| AutoML approach | SapientML learns from corpora of datasets and human-written pipelines to generate pipelines for new predictive tasks. | Facts sourced | 2026-10-04 |
| Install | Homepage tells users to install with pip install sapientml and use APIs described in documentation. | Facts sourced | 2026-10-04 |
| Features | Marketing highlights high speed, transparency via generated programs, and high accuracy versus exhaustive pipeline search. | Facts sourced | 2026-10-04 |
Understand the total cost
Free
Free
Open-source project; site instructs installing via pip with no paid tier listed.
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Explore toolThe practical questions
SapientML is an open AutoML research project that learns from existing datasets and human-written ML pipelines to synthesize high-quality predictive pipelines for new tabular tasks. It emphasizes fast search over plausible pipelines, transparent generated code, and strong accuracy on benchmark tasks.
Open-source project; site instructs installing via pip with no paid tier listed.. This record lists ongoing free access; check the plan limits before starting.
No paid monthly price is listed; this record treats the product as free to start. See the plan cards for entitlements, billing commitments and seat minimums.
Documentation describes Python APIs to generate machine learning pipelines after pip install.. API access and subscription access may have different terms; consult the linked sources.
Public site focuses on research software and docs rather than a hosted SaaS with managed compute quotas.
No retained pricing changes yet. A current price alone does not establish a historical trend.
Reviewed vendor source
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