Comparison
jax vs 3D-Mem
Verdict
Pick jax when license: jax is Apache-2.0, 3D-Mem is MIT; pick 3D-Mem when license: 3D-Mem is MIT, jax is Apache-2.0.
Markdown twin · jax alternatives · 3D-Mem alternatives
GraphCanon updated today
Trust & integrity
| Signal | jax | 3D-Mem |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Slowing (281d 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
- jax
- Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
- 3D-Mem
- [CVPR 2025] Source codes for the paper "3D-Mem: 3D Scene Memory for Embodied Exploration and Reasoning"
Stars
- jax
- 36k
- 3D-Mem
- 264
Forks
- jax
- 3.7k
- 3D-Mem
- 17
Open issues
- jax
- 2.5k
- 3D-Mem
- 3
Language
- jax
- Python
- 3D-Mem
- Python
Adopt for
- jax
- -
- 3D-Mem
- -
Persona
- jax
- -
- 3D-Mem
- -
Runtime
- jax
- -
- 3D-Mem
- -
License
- jax
- Apache-2.0
- 3D-Mem
- MIT
Last pushed
- jax
- Jul 11, 2026
- 3D-Mem
- Oct 2, 2025
Categories
- jax
- Vector Databases, Computer Vision, Evaluation & Observability
- 3D-Mem
- Model Training, Vector Databases, Computer Vision
Trust and health
Maintenance
- jax
- Very active (96%)
- 3D-Mem
- Slowing (36%)
Days since push
- jax
- 0d
- 3D-Mem
- 281d
Open issues (now)
- jax
- 2.5k
- 3D-Mem
- 3
Full report
- jax
- Trust report
- 3D-Mem
- Trust report
Shared compatibility
- Python · jax: Python runtime · 3D-Mem: Python runtime
Choose jax if…
- License: jax is Apache-2.0, 3D-Mem is MIT.
- Tags unique to jax: jax.
- Also covers Evaluation & Observability.
When NOT to use jax
- 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 3D-Mem if…
- License: 3D-Mem is MIT, jax is Apache-2.0.
- Tags unique to 3D-Mem: spatial-intelligence, embodied-ai, ai, computer-vision.
- Also covers Model Training.
When NOT to use 3D-Mem
- Last GitHub push was 282 days ago (slowing maintenance, Oct 2, 2025). Validate activity before betting a new project on 3D-Mem.
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- 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 (jax-ml/jax) · observed Jul 11, 2026
- GitHub forks (jax-ml/jax) · observed Jul 11, 2026
- Last push (jax-ml/jax) · observed Jul 11, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (UMass-Embodied-AGI/3D-Mem) · observed Jul 11, 2026
- GitHub forks (UMass-Embodied-AGI/3D-Mem) · observed Jul 11, 2026
- Last push (UMass-Embodied-AGI/3D-Mem) · observed Oct 2, 2025
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: jax 36k · 3D-Mem 264 (synced Jul 11, 2026).
Common questions
- What is the difference between jax and 3D-Mem?
- jax: Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more. 3D-Mem: [CVPR 2025] Source codes for the paper "3D-Mem: 3D Scene Memory for Embodied Exploration and Reasoning". See the comparison table for live GitHub stats and shared categories.
- When should I choose jax over 3D-Mem?
- Choose jax over 3D-Mem when License: jax is Apache-2.0, 3D-Mem is MIT; Tags unique to jax: jax; Also covers Evaluation & Observability.
- When should I choose 3D-Mem over jax?
- Choose 3D-Mem over jax when License: 3D-Mem is MIT, jax is Apache-2.0; Tags unique to 3D-Mem: spatial-intelligence, embodied-ai, ai, computer-vision; Also covers Model Training.
- When should I avoid jax?
- 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 3D-Mem?
- Last GitHub push was 282 days ago (slowing maintenance, Oct 2, 2025). Validate activity before betting a new project on 3D-Mem. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- Is jax or 3D-Mem more popular on GitHub?
- jax has more GitHub stars (35,999 vs 264). Stars measure visibility, not whether either tool fits your constraints.
- Are jax and 3D-Mem open source?
- Yes - both are open-source projects on GitHub (jax: Apache-2.0, 3D-Mem: MIT).
- Where can I find alternatives to jax or 3D-Mem?
- GraphCanon lists graph-backed alternatives at jax alternatives and 3D-Mem alternatives (jax markdown twin, 3D-Mem 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, jax or 3D-Mem?
- jax: Very active. 3D-Mem: Slowing. 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 jax and 3D-Mem?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: jax trust report; 3D-Mem trust report.