Comparison
beta9 vs orkhon
Verdict
Pick beta9 if beta9 is an ultrafast serverless GPU inference platform with sandbox environments and background job capabilities. Noteworthy features include its focus on large language model inference and environment management; pick orkhon if orkhon is an ML inference framework and server runtime primarily written in Rust, emphasizing async, data-parallelism, multiprocessing features.
Markdown twin · beta9 alternatives · orkhon alternatives
GraphCanon updated Sep 20, 2026
10views this month
Trust & integrity
| Signal | beta9 | orkhon |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 19, 2026 · github_public_v1 | Dormant (2056d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 19, 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 11, 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
- beta9
- Ultrafast serverless GPU inference, sandboxes, and background jobs
- orkhon
- ML Inference Framework and Server Runtime
Stars
- beta9
- 1.8k
- orkhon
- 153
Forks
- beta9
- 165
- orkhon
- 4
Open issues
- beta9
- 23
- orkhon
- 3
Language
- beta9
- Go
- orkhon
- Rust
Adopt for
- beta9
- beta9 is an ultrafast serverless GPU inference platform with sandbox environments and background job capabilities. Noteworthy features include its focus on large language model inference and environment management.
- orkhon
- Orkhon is an ML inference framework and server runtime primarily written in Rust, emphasizing async, data-parallelism, multiprocessing features.
Persona
- beta9
- -
- orkhon
- -
Runtime
- beta9
- -
- orkhon
- -
License
- beta9
- AGPL-3.0
- orkhon
- MIT License
Last pushed
- beta9
- Sep 19, 2026
- orkhon
- Feb 1, 2021
Categories
- beta9
- Inference & Serving, LLM Frameworks
- orkhon
- Inference & Serving
Trust and health
Maintenance
- beta9
- Very active (96%)
- orkhon
- Dormant (18%)
Days since push
- beta9
- 0d
- orkhon
- 2056d
Open issues (now)
- beta9
- 23
- orkhon
- 3
Stars delta
- beta9
- +63 (30d)
- orkhon
- 0 (30d)
Open issues delta
- beta9
- +6 (30d)
- orkhon
- 0 (30d)
Owner type
- beta9
- Organization
- orkhon
- User
Full report
- beta9
- Trust report
- orkhon
- Trust report
Choose beta9 if…
- beta9 is primarily Go; orkhon is Rust.
- License: beta9 is AGPL-3.0, orkhon is MIT.
- Pricing: The license type is AGPL-3.0 which may indicate an open-source community model with potential enterprise upgrades..
- Requirements: Development in Go implies the system leverages specific idiomatic patterns and libraries within this language which might not be portable across others..
- Tags unique to beta9: autoscaler, cloudrun, cuda, distributed-computing.
- Also covers LLM Frameworks.
- Use beta9 when you specifically need to deploy large language models for ultrafast inference tasks, benefiting from its dedicated support for LLMs.
When NOT to use beta9
- Avoid using beta9 if you need more general-purpose developer tools that don't specialize in large language model inference and related tasks.
- Do not use this platform if your project does not benefit from GPU acceleration or serverless computing for background jobs and sandboxes, as these are beta9's key strengths.
Choose orkhon if…
- orkhon is primarily Rust; beta9 is Go.
- License: orkhon is MIT, beta9 is AGPL-3.0.
- Requirements: Min 0.5 GB RAM; As Orkhon is written in Rust, ensure you have the necessary tools in place for Rust development and deployment..
- Tags unique to orkhon: async, data-parallelism, multiprocessing, python3.
- Use Orkhon when you need an inference solution with support for asynchronous operations, which can significantly enhance performance on I/O-bound tasks compared to synchronous alternatives.
When NOT to use orkhon
- Avoid Orkhon when you require a more mature ecosystem or community support that languages such as Python offer with frameworks like TensorFlow Serving.
- Do not use if your project heavily depends on Python-specific libraries for inference tasks, given Orkhon prioritizes Rust integration.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (beam-cloud/beta9) · observed Sep 20, 2026
- GitHub forks (beam-cloud/beta9) · observed Sep 20, 2026
- Last push (beam-cloud/beta9) · observed Sep 19, 2026
- License file (AGPL-3.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (vertexclique/orkhon) · observed Sep 20, 2026
- GitHub forks (vertexclique/orkhon) · observed Sep 20, 2026
- Last push (vertexclique/orkhon) · observed Feb 1, 2021
- 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: beta9 1.8k · orkhon 153 (synced Sep 20, 2026).
Common questions
- What is the difference between beta9 and orkhon?
- beta9: Ultrafast serverless GPU inference, sandboxes, and background jobs. orkhon: ML Inference Framework and Server Runtime. See the comparison table for live GitHub stats and shared categories.
- When should I choose beta9 over orkhon?
- Choose beta9 over orkhon when beta9 is primarily Go; orkhon is Rust; License: beta9 is AGPL-3.0, orkhon is MIT; Pricing: The license type is AGPL-3.0 which may indicate an open-source community model with potential enterprise upgrades.; Requirements: Development in Go implies the system leverages specific idiomatic patterns and libraries within this language which might not be portable across others.; Tags unique to beta9: autoscaler, cloudrun, cuda, distributed-computing; Also covers LLM Frameworks; Use beta9 when you specifically need to deploy large language models for ultrafast inference tasks, benefiting from its dedicated support for LLMs.
- When should I choose orkhon over beta9?
- Choose orkhon over beta9 when orkhon is primarily Rust; beta9 is Go; License: orkhon is MIT, beta9 is AGPL-3.0; Requirements: Min 0.5 GB RAM; As Orkhon is written in Rust, ensure you have the necessary tools in place for Rust development and deployment.; Tags unique to orkhon: async, data-parallelism, multiprocessing, python3; Use Orkhon when you need an inference solution with support for asynchronous operations, which can significantly enhance performance on I/O-bound tasks compared to synchronous alternatives.
- When should I avoid beta9?
- Avoid using beta9 if you need more general-purpose developer tools that don't specialize in large language model inference and related tasks. Do not use this platform if your project does not benefit from GPU acceleration or serverless computing for background jobs and sandboxes, as these are beta9's key strengths.
- When should I avoid orkhon?
- Avoid Orkhon when you require a more mature ecosystem or community support that languages such as Python offer with frameworks like TensorFlow Serving. Do not use if your project heavily depends on Python-specific libraries for inference tasks, given Orkhon prioritizes Rust integration.
- Is beta9 or orkhon more popular on GitHub?
- beta9 has more GitHub stars (1,783 vs 153). Stars measure visibility, not whether either tool fits your constraints.
- Are beta9 and orkhon open source?
- Yes - both are open-source projects on GitHub (beta9: AGPL-3.0, orkhon: MIT).
- Where can I find alternatives to beta9 or orkhon?
- GraphCanon lists graph-backed alternatives at beta9 alternatives and orkhon alternatives (beta9 markdown twin, orkhon 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, beta9 or orkhon?
- beta9: Very active. orkhon: 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 beta9 and orkhon?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: beta9 trust report; orkhon trust report.