Comparison
BodhiApp vs oterm
Verdict
Pick BodhiApp if bodhiApp streamlines local deployment of open-source and open-weight LLMs via Docker images, compatible with multiple hardware acceleration methods; pick oterm if oterm is a terminal client for Large Language Models written in Python that allows for text-based interactions with LLMS through the command line.
Markdown twin · BodhiApp alternatives · oterm alternatives
GraphCanon updated Sep 20, 2026
12views this month
Trust & integrity
| Signal | BodhiApp | oterm |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 20, 2026 · github_public_v1 | Active (17d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 15, 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
- BodhiApp
- Run Open Source/Open Weight LLMs locally with OpenAI compatible APIs
- oterm
- the terminal client for LLMs
Stars
- BodhiApp
- 139
- oterm
- 2.4k
Forks
- BodhiApp
- 11
- oterm
- 138
Open issues
- BodhiApp
- 12
- oterm
- 4
Language
- BodhiApp
- TypeScript
- oterm
- Python
Adopt for
- BodhiApp
- BodhiApp streamlines local deployment of open-source and open-weight LLMs via Docker images, compatible with multiple hardware acceleration methods.
- oterm
- oterm is a terminal client for Large Language Models written in Python that allows for text-based interactions with LLMS through the command line.
Persona
- BodhiApp
- -
- oterm
- -
Runtime
- BodhiApp
- -
- oterm
- -
License
- BodhiApp
- The license information for BodhiApp has not been provided.
- oterm
- MIT
Last pushed
- BodhiApp
- Sep 20, 2026
- oterm
- Sep 2, 2026
Categories
- BodhiApp
- Inference & Serving, LLM Frameworks
- oterm
- Developer Tools, LLM Frameworks
Trust and health
Maintenance
- BodhiApp
- Very active (96%)
- oterm
- Active (82%)
Days since push
- BodhiApp
- 0d
- oterm
- 17d
Open issues (now)
- BodhiApp
- 12
- oterm
- 4
Stars delta
- BodhiApp
- +3 (30d)
- oterm
- +21 (30d)
Open issues delta
- BodhiApp
- +2 (30d)
- oterm
- -1 (30d)
Owner type
- BodhiApp
- Organization
- oterm
- User
Full report
- BodhiApp
- Trust report
- oterm
- Trust report
Choose BodhiApp if…
- BodhiApp is primarily TypeScript; oterm is Python.
- Pricing: Pricing details are not mentioned in the repository data..
- Requirements: Requires Docker; Requires Docker environment. Specific model requirements vary depending on the hardware variant chosen..
- Tags unique to BodhiApp: gemma, generative-ai, llama, local-llm.
- Also covers Inference & Serving.
- You need to deploy LLMs locally with flexible hardware support including AMD, NVIDIA GPUs, and CPUs.
When NOT to use BodhiApp
- Your project strictly requires non-local deployment options, as BodhiApp focuses on local hosting of models.
- If your environment is limited to unsupported GPU hardware or lacks adequate drivers for CUDA, ROCm, or Vulkan acceleration methods.
- You need support beyond Mac platforms as BodhiApp does not yet provide installation instructions for other operating systems.
Choose oterm if…
- oterm is primarily Python; BodhiApp is TypeScript.
- Tags unique to oterm: machine-learning, python, terminal.
- Also covers Developer Tools.
- Use oterm if you prefer interacting with large language models through the terminal rather than using graphical user interfaces or API calls.
When NOT to use oterm
- Avoid oterm if your project requires a GUI for LLM interactions, as it is strictly text-based and does not provide visual elements
- Do not use oterm if you need real-time collaboration features, as its terminal-based interface is limited in such functionalities compared to web or desktop applications
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (BodhiSearch/BodhiApp) · observed Sep 20, 2026
- GitHub forks (BodhiSearch/BodhiApp) · observed Sep 20, 2026
- Last push (BodhiSearch/BodhiApp) · observed Sep 20, 2026
- License file (unknown) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (ggozad/oterm) · observed Sep 20, 2026
- GitHub forks (ggozad/oterm) · observed Sep 20, 2026
- Last push (ggozad/oterm) · observed Sep 2, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: BodhiApp 139 · oterm 2.4k (synced Sep 20, 2026).
Common questions
- What is the difference between BodhiApp and oterm?
- BodhiApp: Run Open Source/Open Weight LLMs locally with OpenAI compatible APIs. oterm: the terminal client for LLMs. See the comparison table for live GitHub stats and shared categories.
- When should I choose BodhiApp over oterm?
- Choose BodhiApp over oterm when BodhiApp is primarily TypeScript; oterm is Python; Pricing: Pricing details are not mentioned in the repository data.; Requirements: Requires Docker; Requires Docker environment. Specific model requirements vary depending on the hardware variant chosen.; Tags unique to BodhiApp: gemma, generative-ai, llama, local-llm; Also covers Inference & Serving; You need to deploy LLMs locally with flexible hardware support including AMD, NVIDIA GPUs, and CPUs.
- When should I choose oterm over BodhiApp?
- Choose oterm over BodhiApp when oterm is primarily Python; BodhiApp is TypeScript; Tags unique to oterm: machine-learning, python, terminal; Also covers Developer Tools; Use oterm if you prefer interacting with large language models through the terminal rather than using graphical user interfaces or API calls.
- When should I avoid BodhiApp?
- Your project strictly requires non-local deployment options, as BodhiApp focuses on local hosting of models. If your environment is limited to unsupported GPU hardware or lacks adequate drivers for CUDA, ROCm, or Vulkan acceleration methods. You need support beyond Mac platforms as BodhiApp does not yet provide installation instructions for other operating systems.
- When should I avoid oterm?
- Avoid oterm if your project requires a GUI for LLM interactions, as it is strictly text-based and does not provide visual elements Do not use oterm if you need real-time collaboration features, as its terminal-based interface is limited in such functionalities compared to web or desktop applications
- Is BodhiApp or oterm more popular on GitHub?
- oterm has more GitHub stars (2,440 vs 139). Stars measure visibility, not whether either tool fits your constraints.
- Are BodhiApp and oterm open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to BodhiApp or oterm?
- GraphCanon lists graph-backed alternatives at BodhiApp alternatives and oterm alternatives (BodhiApp markdown twin, oterm 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, BodhiApp or oterm?
- BodhiApp: Very active. oterm: 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 BodhiApp and oterm?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: BodhiApp trust report; oterm trust report.