Comparison
bitsandbytes vs keras
Verdict
Pick bitsandbytes when license: bitsandbytes is MIT, keras is Apache-2.0; pick keras when license: keras is Apache-2.0, bitsandbytes is MIT.
Markdown twin · bitsandbytes alternatives · keras alternatives
GraphCanon updated today
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Trust & integrity
| Signal | bitsandbytes | keras |
|---|---|---|
| Maintenance | Very active (2d since push) As of today · github_public_v1 | Very active (4d 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 criticals As of today · osv@v1 |
Tagline
- bitsandbytes
- Accessible large language models via k-bit quantization for PyTorch.
- keras
- Deep Learning for humans
Stars
- bitsandbytes
- 8.3k
- keras
- 64k
Forks
- bitsandbytes
- 881
- keras
- 20k
Open issues
- bitsandbytes
- 48
- keras
- 228
Language
- bitsandbytes
- Python
- keras
- Python
Adopt for
- bitsandbytes
- -
- keras
- -
Persona
- bitsandbytes
- -
- keras
- -
Runtime
- bitsandbytes
- -
- keras
- -
License
- bitsandbytes
- MIT
- keras
- Apache-2.0
Last pushed
- bitsandbytes
- Jul 9, 2026
- keras
- Jul 7, 2026
Categories
- bitsandbytes
- Inference & Serving, LLM Frameworks, Model Training
- keras
- Model Training
Trust and health
Days since push
- bitsandbytes
- 2d
- keras
- 4d
Open issues (now)
- bitsandbytes
- 48
- keras
- 228
Security scan
- bitsandbytes
- No lockfile
- keras
- No criticals
Full report
- bitsandbytes
- Trust report
- keras
- Trust report
Shared compatibility
- Python · bitsandbytes: Python runtime · keras: Python runtime
Choose bitsandbytes if…
- License: bitsandbytes is MIT, keras is Apache-2.0.
- Tags unique to bitsandbytes: llm, qlora, quantization.
- Also covers Inference & Serving, LLM Frameworks.
When NOT to use bitsandbytes
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
Choose keras if…
- License: keras is Apache-2.0, bitsandbytes is MIT.
- Tags unique to keras: data-science, deep-learning, jax, neural-networks.
- More GitHub stars (64k vs 8.3k) - visibility, not fit.
When NOT to use keras
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (bitsandbytes-foundation/bitsandbytes) · observed Jul 11, 2026
- GitHub forks (bitsandbytes-foundation/bitsandbytes) · observed Jul 11, 2026
- Last push (bitsandbytes-foundation/bitsandbytes) · observed Jul 9, 2026
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (keras-team/keras) · observed Jul 11, 2026
- GitHub forks (keras-team/keras) · observed Jul 11, 2026
- Last push (keras-team/keras) · observed Jul 7, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: bitsandbytes 8.3k · keras 64k (synced Jul 11, 2026).
Common questions
- What is the difference between bitsandbytes and keras?
- bitsandbytes: Accessible large language models via k-bit quantization for PyTorch.. keras: Deep Learning for humans. See the comparison table for live GitHub stats and shared categories.
- When should I choose bitsandbytes over keras?
- Choose bitsandbytes over keras when License: bitsandbytes is MIT, keras is Apache-2.0; Tags unique to bitsandbytes: llm, qlora, quantization; Also covers Inference & Serving, LLM Frameworks.
- When should I choose keras over bitsandbytes?
- Choose keras over bitsandbytes when License: keras is Apache-2.0, bitsandbytes is MIT; Tags unique to keras: data-science, deep-learning, jax, neural-networks; More GitHub stars (64k vs 8.3k) - visibility, not fit.
- When should I avoid bitsandbytes?
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- When should I avoid keras?
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- Is bitsandbytes or keras more popular on GitHub?
- keras has more GitHub stars (64,191 vs 8,313). Stars measure visibility, not whether either tool fits your constraints.
- Are bitsandbytes and keras open source?
- Yes - both are open-source projects on GitHub (bitsandbytes: MIT, keras: Apache-2.0).
- Where can I find alternatives to bitsandbytes or keras?
- GraphCanon lists graph-backed alternatives at bitsandbytes alternatives and keras alternatives (bitsandbytes markdown twin, keras 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, bitsandbytes or keras?
- bitsandbytes: Very active. keras: Very active. 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 bitsandbytes and keras?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: bitsandbytes trust report; keras trust report.