Comparison
octopack vs octo
Verdict
Pick octopack if octoPack is an instruction tuning code large language models repository providing detailed components for model training with data retrieval; pick octo if octo is a transformer-based robot policy trained on 800k robot trajectories, offering support for CPU, GPU, and TPU installations.
Markdown twin · octopack alternatives · octo alternatives
GraphCanon updated Oct 7, 2026
5views this month
Trust & integrity
| Signal | octopack | octo |
|---|---|---|
| Maintenance | Dormant (608d since push) As of Oct 7, 2026 · github_public_v1 | Dormant (779d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Oct 7, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | Published findings As of Sep 18, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- octopack
- OctoPack: Instruction Tuning Code Large Language Models
- octo
- Transformer-based robot policy trained on 800k robot trajectories
Stars
- octopack
- 480
- octo
- 1.8k
Forks
- octopack
- 30
- octo
- 280
Open issues
- octopack
- 14
- octo
- 96
Language
- octopack
- Jupyter Notebook
- octo
- Python
Adopt for
- octopack
- OctoPack is an instruction tuning code large language models repository providing detailed components for model training with data retrieval.
- octo
- Octo is a transformer-based robot policy trained on 800k robot trajectories, offering support for CPU, GPU, and TPU installations.
Persona
- octopack
- -
- octo
- -
Runtime
- octopack
- -
- octo
- -
License
- octopack
- MIT
- octo
- MIT
Last pushed
- octopack
- Feb 5, 2025
- octo
- Jul 31, 2024
Categories
- octopack
- Data & Retrieval, Model Training
- octo
- Model Training
Trust and health
Days since push
- octopack
- 608d
- octo
- 779d
Open issues (now)
- octopack
- 14
- octo
- 96
Stars delta
- octopack
- +1 (30d)
- octo
- +56 (30d)
OSV dependency advisories
- octopack
- No lockfile (source not queried)
- octo
- Published findings
Full report
- octopack
- Trust report
- octo
- Trust report
Choose octopack if…
- octopack is primarily Jupyter Notebook; octo is Python.
- Tags unique to octopack: code-llm, dataset, evaluation, instruction-tuning.
- Also covers Data & Retrieval.
- When you need to fine-tune StarCoder or CodeGeeX2 on commit message datasets formatted as instructions
When NOT to use octopack
- If your project does not require instruction tuning and focuses solely on general model improvements
- When your data source is limited to English or a few languages, excluding the need for broad linguistic coverage as provided by CommitPack
Choose octo if…
- octo is primarily Python; octopack is Jupyter Notebook.
- Requirements: Installation requires setting up a Python 3.10 environment with Conda.; For GPU support, Jax with CUDA 11 is required.; For TPU support, Jax with TPU support is required..
- Tags unique to octo: finetuning, gpu, jax, robotics.
- Use Octo when you need a transformer-based policy for robot control tasks that can leverage a large dataset of 800k robot trajectories.
When NOT to use octo
- Avoid Octo if your project does not require the scale of data it was trained on, as the model might be overkill for smaller datasets.
- Do not use Octo if you are working in an environment that does not support Python or the specific versions of Jax required for GPU and TPU support.
- If your project has strict licensing requirements that do not allow for MIT-licensed software, Octo would not be a suitable choice.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (bigcode-project/octopack) · observed Oct 7, 2026
- GitHub forks (bigcode-project/octopack) · observed Oct 7, 2026
- Last push (bigcode-project/octopack) · observed Feb 5, 2025
- License file (MIT) · observed Oct 7, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (octo-models/octo) · observed Sep 20, 2026
- GitHub forks (octo-models/octo) · observed Sep 20, 2026
- Last push (octo-models/octo) · observed Jul 31, 2024
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: octopack 480 · octo 1.8k (synced Oct 7, 2026).
Common questions
- What is the difference between octopack and octo?
- octopack: OctoPack: Instruction Tuning Code Large Language Models. octo: Transformer-based robot policy trained on 800k robot trajectories. See the comparison table for live GitHub stats and shared categories.
- When should I choose octopack over octo?
- Choose octopack over octo when octopack is primarily Jupyter Notebook; octo is Python; Tags unique to octopack: code-llm, dataset, evaluation, instruction-tuning; Also covers Data & Retrieval; When you need to fine-tune StarCoder or CodeGeeX2 on commit message datasets formatted as instructions.
- When should I choose octo over octopack?
- Choose octo over octopack when octo is primarily Python; octopack is Jupyter Notebook; Requirements: Installation requires setting up a Python 3.10 environment with Conda.; For GPU support, Jax with CUDA 11 is required.; For TPU support, Jax with TPU support is required.; Tags unique to octo: finetuning, gpu, jax, robotics; Use Octo when you need a transformer-based policy for robot control tasks that can leverage a large dataset of 800k robot trajectories.
- When should I avoid octopack?
- If your project does not require instruction tuning and focuses solely on general model improvements When your data source is limited to English or a few languages, excluding the need for broad linguistic coverage as provided by CommitPack
- When should I avoid octo?
- Avoid Octo if your project does not require the scale of data it was trained on, as the model might be overkill for smaller datasets. Do not use Octo if you are working in an environment that does not support Python or the specific versions of Jax required for GPU and TPU support. If your project has strict licensing requirements that do not allow for MIT-licensed software, Octo would not be a suitable choice.
- Is octopack or octo more popular on GitHub?
- octo has more GitHub stars (1,778 vs 480). Stars measure visibility, not whether either tool fits your constraints.
- Are octopack and octo open source?
- Yes - both are open-source projects on GitHub (octopack: MIT, octo: MIT).
- Where can I find alternatives to octopack or octo?
- GraphCanon lists graph-backed alternatives at octopack alternatives and octo alternatives (octopack markdown twin, octo 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, octopack or octo?
- octopack: Dormant. octo: 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 octopack and octo?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: octopack trust report; octo trust report.