Comparison
aikit vs sarathi-serve
Verdict
Pick aikit if aikit is a toolkit designed for fine-tuning, building and deploying large language models (LLMs) with an emphasis on open-source technologies; pick sarathi-serve if sarathi Serve targets efficient low-latency and high-throughput inference for LLMs using Python.
Markdown twin · aikit alternatives · sarathi-serve alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | aikit | sarathi-serve |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Slowing (229d 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 |
| 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
- aikit
- Fine-tune, build, and deploy open-source LLMs easily!
- sarathi-serve
- A low-latency and high-throughput serving engine for LLMs
Stars
- aikit
- 537
- sarathi-serve
- 520
Forks
- aikit
- 57
- sarathi-serve
- 65
Open issues
- aikit
- 40
- sarathi-serve
- 16
Language
- aikit
- Go
- sarathi-serve
- Python
Adopt for
- aikit
- Aikit is a toolkit designed for fine-tuning, building and deploying large language models (LLMs) with an emphasis on open-source technologies.
- sarathi-serve
- Sarathi Serve targets efficient low-latency and high-throughput inference for LLMs using Python.
Persona
- aikit
- -
- sarathi-serve
- -
Runtime
- aikit
- -
- sarathi-serve
- -
License
- aikit
- MIT
- sarathi-serve
- Apache-2.0
Last pushed
- aikit
- Aug 24, 2026
- sarathi-serve
- Jan 8, 2026
Categories
- aikit
- Inference & Serving, LLM Frameworks, Model Training
- sarathi-serve
- Inference & Serving
Trust and health
Maintenance
- aikit
- Very active (96%)
- sarathi-serve
- Slowing (36%)
Days since push
- aikit
- 0d
- sarathi-serve
- 229d
Open issues (now)
- aikit
- 40
- sarathi-serve
- 16
Stars delta
- aikit
- +3 (30d)
- sarathi-serve
- +8 (30d)
Open issues delta
- aikit
- -3 (30d)
- sarathi-serve
- 0 (30d)
Full report
- aikit
- Trust report
- sarathi-serve
- Trust report
Choose aikit if…
- aikit is primarily Go; sarathi-serve is Python.
- License: aikit is MIT, sarathi-serve is Apache-2.0.
- Tags unique to aikit: ai, buildkit, chatgpt, docker.
- Also covers LLM Frameworks, Model Training.
- aikit ships Docker support for self-hosted deployment.
- - You need a flexible solution specifically built using Go and prefer its concurrency model.
When NOT to use aikit
- - You have a preference or requirement for Python-based tools due to the lack of native support in Aikit.
- - If your deployment setup strictly uses cloud-specific platforms and you do not use Kubernetes or Docker, as Aikit heavily integrates with containerized environments like these.
Choose sarathi-serve if…
- sarathi-serve is primarily Python; aikit is Go.
- License: sarathi-serve is Apache-2.0, aikit is MIT.
- Tags unique to sarathi-serve: llama, llm-inference, pytorch, transformer.
- Optimize Python-based projects needing quick responses from large language models.
When NOT to use sarathi-serve
- Necessitate a non-Python environment for deployment and operation.
- Prefer a tool that incorporates more than just low-latency, high-throughput focus such as multi-language support or specialized optimizations.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (kaito-project/aikit) · observed Aug 24, 2026
- GitHub forks (kaito-project/aikit) · observed Aug 24, 2026
- Last push (kaito-project/aikit) · observed Aug 24, 2026
- License file (MIT) · observed Aug 24, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (microsoft/sarathi-serve) · observed Aug 25, 2026
- GitHub forks (microsoft/sarathi-serve) · observed Aug 25, 2026
- Last push (microsoft/sarathi-serve) · observed Jan 8, 2026
- License file (Apache-2.0) · observed Aug 25, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: aikit 537 · sarathi-serve 520 (synced Aug 24, 2026).
Common questions
- What is the difference between aikit and sarathi-serve?
- aikit: Fine-tune, build, and deploy open-source LLMs easily!. sarathi-serve: A low-latency and high-throughput serving engine for LLMs. See the comparison table for live GitHub stats and shared categories.
- When should I choose aikit over sarathi-serve?
- Choose aikit over sarathi-serve when aikit is primarily Go; sarathi-serve is Python; License: aikit is MIT, sarathi-serve is Apache-2.0; Tags unique to aikit: ai, buildkit, chatgpt, docker; Also covers LLM Frameworks, Model Training; aikit ships Docker support for self-hosted deployment; - You need a flexible solution specifically built using Go and prefer its concurrency model.
- When should I choose sarathi-serve over aikit?
- Choose sarathi-serve over aikit when sarathi-serve is primarily Python; aikit is Go; License: sarathi-serve is Apache-2.0, aikit is MIT; Tags unique to sarathi-serve: llama, llm-inference, pytorch, transformer; Optimize Python-based projects needing quick responses from large language models.
- When should I avoid aikit?
- - You have a preference or requirement for Python-based tools due to the lack of native support in Aikit. - If your deployment setup strictly uses cloud-specific platforms and you do not use Kubernetes or Docker, as Aikit heavily integrates with containerized environments like these.
- When should I avoid sarathi-serve?
- Necessitate a non-Python environment for deployment and operation. Prefer a tool that incorporates more than just low-latency, high-throughput focus such as multi-language support or specialized optimizations.
- Is aikit or sarathi-serve more popular on GitHub?
- aikit has more GitHub stars (537 vs 520). Stars measure visibility, not whether either tool fits your constraints.
- Are aikit and sarathi-serve open source?
- Yes - both are open-source projects on GitHub (aikit: MIT, sarathi-serve: Apache-2.0).
- Where can I find alternatives to aikit or sarathi-serve?
- GraphCanon lists graph-backed alternatives at aikit alternatives and sarathi-serve alternatives (aikit markdown twin, sarathi-serve 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, aikit or sarathi-serve?
- aikit: Very active. sarathi-serve: 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 aikit and sarathi-serve?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: aikit trust report; sarathi-serve trust report.