Comparison
OpenCoder-llm vs gorilla
Verdict
Pick OpenCoder-llm if openCoder-llm offers comprehensive resources for generating high-quality code through its large language models, including datasets, evaluation frameworks, and data pipelines; pick gorilla if gorilla specializes in training and evaluating large language models (LLMs) to perform function calls or tool usages.
Markdown twin · OpenCoder-llm alternatives · gorilla alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | OpenCoder-llm | gorilla |
|---|---|---|
| Maintenance | Dormant (604d since push) As of 2w · github_public_v1 | Slowing (117d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 2w · github_public_v1 | Not a fork · Personal account As of 2w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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
- OpenCoder-llm
- The Open Cookbook for Top-Tier Code Large Language Models
- gorilla
- Training and Evaluating LLMs for Function Calls (Tool Calls)
Stars
- OpenCoder-llm
- 2.1k
- gorilla
- 13k
Forks
- OpenCoder-llm
- 125
- gorilla
- 1.4k
Open issues
- OpenCoder-llm
- 11
- gorilla
- 272
Language
- OpenCoder-llm
- Python
- gorilla
- Python
Adopt for
- OpenCoder-llm
- OpenCoder-llm offers comprehensive resources for generating high-quality code through its large language models, including datasets, evaluation frameworks, and data pipelines.
- gorilla
- Gorilla specializes in training and evaluating large language models (LLMs) to perform function calls or tool usages.
Persona
- OpenCoder-llm
- -
- gorilla
- -
Runtime
- OpenCoder-llm
- -
- gorilla
- -
License
- OpenCoder-llm
- MIT
- gorilla
- Gorilla can be used freely under the Apache 2.0 license for both academic and commercial purposes.
Last pushed
- OpenCoder-llm
- Dec 8, 2024
- gorilla
- Apr 13, 2026
Categories
- OpenCoder-llm
- Data & Retrieval, Evaluation & Observability, LLM Frameworks, Model Training
- gorilla
- Evaluation & Observability, Model Training
Trust and health
Maintenance
- OpenCoder-llm
- Dormant (18%)
- gorilla
- Slowing (36%)
Days since push
- OpenCoder-llm
- 604d
- gorilla
- 117d
Open issues (now)
- OpenCoder-llm
- 11
- gorilla
- 272
Full report
- OpenCoder-llm
- Trust report
- gorilla
- Trust report
Choose OpenCoder-llm if…
- License: OpenCoder-llm is MIT, gorilla is Apache-2.0.
- Tags unique to OpenCoder-llm: code generation, data filtering, dataset, evaluation-framework.
- Also covers Data & Retrieval, LLM Frameworks.
- When you need access to both English and Chinese language support in your code generation tasks.
When NOT to use OpenCoder-llm
- If your primary focus is on natural language processing tasks that do not involve code generation or require languages other than English or Chinese.
- For scenarios where the availability of intermediate checkpoints during pretraining stages does not add value to your development process.
- If you are working with datasets that already provide synthetic annealing data, and additional resources for this type of data are unnecessary.
- When a tool without an open-source data cleaning pipeline is sufficient for your code generation tasks.
Choose gorilla if…
- License: gorilla is Apache-2.0, OpenCoder-llm is MIT.
- Requirements: Gorilla works best with Python environments and requires installation through pip or local repository cloning..
- Tags unique to gorilla: api, chatgpt, claude-api, gpt-4-api.
- You should consider using Gorilla if you need a comprehensive framework for developing LLMs capable of leveraging external functions effectively.
When NOT to use gorilla
- Avoid Gorilla if your primary focus is not on function calling or tool usage capabilities for LLMs; another model-specific framework may better fit your needs.
- If the lack of a direct comparison tool to other models' function-calling performance is critical in your decision process, and you find no suitable alternatives listed on their leaderboard.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (OpenCoder-llm/OpenCoder-llm) · observed Aug 5, 2026
- GitHub forks (OpenCoder-llm/OpenCoder-llm) · observed Aug 5, 2026
- Last push (OpenCoder-llm/OpenCoder-llm) · observed Dec 8, 2024
- License file (MIT) · observed Aug 5, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (ShishirPatil/gorilla) · observed Aug 8, 2026
- GitHub forks (ShishirPatil/gorilla) · observed Aug 8, 2026
- Last push (ShishirPatil/gorilla) · observed Apr 13, 2026
- License file (Apache-2.0) · observed Aug 8, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: OpenCoder-llm 2.1k · gorilla 13k (synced Aug 5, 2026).
Common questions
- What is the difference between OpenCoder-llm and gorilla?
- OpenCoder-llm: The Open Cookbook for Top-Tier Code Large Language Models. gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls). See the comparison table for live GitHub stats and shared categories.
- When should I choose OpenCoder-llm over gorilla?
- Choose OpenCoder-llm over gorilla when License: OpenCoder-llm is MIT, gorilla is Apache-2.0; Tags unique to OpenCoder-llm: code generation, data filtering, dataset, evaluation-framework; Also covers Data & Retrieval, LLM Frameworks; When you need access to both English and Chinese language support in your code generation tasks.
- When should I choose gorilla over OpenCoder-llm?
- Choose gorilla over OpenCoder-llm when License: gorilla is Apache-2.0, OpenCoder-llm is MIT; Requirements: Gorilla works best with Python environments and requires installation through pip or local repository cloning.; Tags unique to gorilla: api, chatgpt, claude-api, gpt-4-api; You should consider using Gorilla if you need a comprehensive framework for developing LLMs capable of leveraging external functions effectively.
- When should I avoid OpenCoder-llm?
- If your primary focus is on natural language processing tasks that do not involve code generation or require languages other than English or Chinese. For scenarios where the availability of intermediate checkpoints during pretraining stages does not add value to your development process. If you are working with datasets that already provide synthetic annealing data, and additional resources for this type of data are unnecessary. When a tool without an open-source data cleaning pipeline is sufficient for your code generation tasks.
- When should I avoid gorilla?
- Avoid Gorilla if your primary focus is not on function calling or tool usage capabilities for LLMs; another model-specific framework may better fit your needs. If the lack of a direct comparison tool to other models' function-calling performance is critical in your decision process, and you find no suitable alternatives listed on their leaderboard.
- Is OpenCoder-llm or gorilla more popular on GitHub?
- gorilla has more GitHub stars (12,988 vs 2,103). Stars measure visibility, not whether either tool fits your constraints.
- Are OpenCoder-llm and gorilla open source?
- Yes - both are open-source projects on GitHub (OpenCoder-llm: MIT, gorilla: Apache-2.0).
- Where can I find alternatives to OpenCoder-llm or gorilla?
- GraphCanon lists graph-backed alternatives at OpenCoder-llm alternatives and gorilla alternatives (OpenCoder-llm markdown twin, gorilla 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, OpenCoder-llm or gorilla?
- OpenCoder-llm: Dormant. gorilla: 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 OpenCoder-llm and gorilla?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: OpenCoder-llm trust report; gorilla trust report.