Comparison
evalml vs caffe
Verdict
Pick evalml when evalml is primarily Python; caffe is C++; pick caffe when caffe is primarily C++; evalml is Python.
Markdown twin · evalml alternatives · caffe alternatives
GraphCanon updated today
Trust & integrity
| Signal | evalml | caffe |
|---|---|---|
| Maintenance | Slowing (178d since push) As of today · github_public_v1 | Dormant (710d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | No lockfile As of today · none |
Tagline
- evalml
- EvalML is an AutoML library written in python.
- caffe
- Caffe: a fast open framework for deep learning.
Stars
- evalml
- 849
- caffe
- 35k
Forks
- evalml
- 93
- caffe
- 18k
Open issues
- evalml
- 324
- caffe
- 1.2k
Language
- evalml
- Python
- caffe
- C++
Adopt for
- evalml
- -
- caffe
- -
Persona
- evalml
- -
- caffe
- -
Runtime
- evalml
- -
- caffe
- -
License
- evalml
- BSD-3-Clause
- caffe
- Other
Last pushed
- evalml
- Jan 14, 2026
- caffe
- Jul 31, 2024
Categories
- evalml
- Vector Databases, Evaluation & Observability
- caffe
- Vector Databases, Computer Vision
Trust and health
Maintenance
- evalml
- Slowing (36%)
- caffe
- Dormant (18%)
Days since push
- evalml
- 178d
- caffe
- 710d
Open issues (now)
- evalml
- 324
- caffe
- 1.2k
Full report
- evalml
- Trust report
- caffe
- Trust report
Choose evalml if…
- evalml is primarily Python; caffe is C++.
- License: evalml is BSD-3-Clause, caffe is Other.
- Tags unique to evalml: automl, data-science, model-selection, optimization.
- Also covers Evaluation & Observability.
When NOT to use evalml
- Last GitHub push was 178 days ago (slowing maintenance, Jan 14, 2026). Validate activity before betting a new project on evalml.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
Choose caffe if…
- caffe is primarily C++; evalml is Python.
- License: caffe is Other, evalml is BSD-3-Clause.
- Tags unique to caffe: deep-learning, vision, c++.
- Also covers Computer Vision.
When NOT to use caffe
- Last GitHub push was 710 days ago (dormant maintenance, Jul 31, 2024). Validate activity before betting a new project on caffe.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (alteryx/evalml) · observed Jul 11, 2026
- GitHub forks (alteryx/evalml) · observed Jul 11, 2026
- Last push (alteryx/evalml) · observed Jan 14, 2026
- License file (BSD-3-Clause) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (BVLC/caffe) · observed Jul 11, 2026
- GitHub forks (BVLC/caffe) · observed Jul 11, 2026
- Last push (BVLC/caffe) · observed Jul 31, 2024
- License file (Other) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: evalml 849 · caffe 35k (synced Jul 11, 2026).
Common questions
- What is the difference between evalml and caffe?
- evalml: EvalML is an AutoML library written in python.. caffe: Caffe: a fast open framework for deep learning.. See the comparison table for live GitHub stats and shared categories.
- When should I choose evalml over caffe?
- Choose evalml over caffe when evalml is primarily Python; caffe is C++; License: evalml is BSD-3-Clause, caffe is Other; Tags unique to evalml: automl, data-science, model-selection, optimization; Also covers Evaluation & Observability.
- When should I choose caffe over evalml?
- Choose caffe over evalml when caffe is primarily C++; evalml is Python; License: caffe is Other, evalml is BSD-3-Clause; Tags unique to caffe: deep-learning, vision, c++; Also covers Computer Vision.
- When should I avoid evalml?
- Last GitHub push was 178 days ago (slowing maintenance, Jan 14, 2026). Validate activity before betting a new project on evalml. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
- When should I avoid caffe?
- Last GitHub push was 710 days ago (dormant maintenance, Jul 31, 2024). Validate activity before betting a new project on caffe. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- Is evalml or caffe more popular on GitHub?
- caffe has more GitHub stars (34,574 vs 849). Stars measure visibility, not whether either tool fits your constraints.
- Are evalml and caffe open source?
- Yes - both are open-source projects on GitHub (evalml: BSD-3-Clause, caffe: Other).
- Where can I find alternatives to evalml or caffe?
- GraphCanon lists graph-backed alternatives at evalml alternatives and caffe alternatives (evalml markdown twin, caffe markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, evalml or caffe?
- evalml: Slowing. caffe: Dormant. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for evalml and caffe?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: evalml trust report; caffe trust report.