AI-ML-PLATFORMS
RAGFlow's dev builds settle permission ownership while the rest is migrations and test plumbing.
Alternatives · ai ml platforms
LiteLLM alternatives
The best LiteLLM alternatives in ai ml platforms, ranked by Sparkpulse's velocity_score.
Updated Oct 28, 2026
Looking for the best alternatives to LiteLLM? Sparkpulse tracks and ranks 7 alternatives in ai ml platforms by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, LiteLLM shipped 0 meaningful updates in the last 30 days and carries a velocity score of 5.0 out of 10 in 2026. The alternatives below are ranked the same way, so you're comparing real release momentum, not marketing claims.
About LiteLLM
LiteLLM's 1.109 dev build stacks 704 PRs and 15 required config changes.
LiteLLM is patching four stable lines (1.103 to 1.106) in lockstep, most recently with leaner failure logs, a proxy-level GCS logger config and a new cosign signing key. On Oct 28 it opened a 1.109.0 dev line with 704 merged PRs and 15 items flagged as action required. Those include a new image-verification key, Gemini 3.6 Flash rejecting temperature/top_p/top_k, no more local token-count estimates, and budget edits on keys restricted to admins.
Velocity 5.0 · Last update 22h ago
Top 7 alternatives to LiteLLM
Ranked by recent ship velocity. Tap any card for the full editorial breakdown, or pivot to a head-to-head.
AI-ML-PLATFORMS
Phoenix evals pins out a compromised LiteLLM release and the emSign root.
AI-ML-PLATFORMS
AnythingLLM's Docker image can now run models itself, no Ollama or LM Studio required.
AI-ML-PLATFORMS
Mem0 is teaching coding agents to search memory less and trust it more.
AI-ML-PLATFORMS
MLflow 3.17.2 records dataset, scorer and agent lineage on every GenAI evaluation run.
AI-ML-PLATFORMS
Kubeflow's main repo is now a signpost: real releases live in seven subprojects.
AI-ML-PLATFORMS
Label Studio's only tracked signal is a nightly build toward 1.24.
LiteLLM vs alternatives — shipping velocity at a glance
Velocity score (0–10) and meaningful releases shipped in the last 30 days, from official changelogs. Higher = shipping faster.
| Product | Velocity | Sparks · 30d | Focus areas | Latest release |
|---|---|---|---|---|
| LiteLLM (baseline) | 5.0 | 0 | llm gatewaybreaking changessupply-chain security | — |
| RAGFlow | 7.5 | 0 | ragai-ml-platformspermissions | — |
| Arize Phoenix | 5.0 | 0 | llm observabilityevalstracing | — |
| AnythingLLM | 3.1 | 1 | local llmself-hosteddocker | AnythingLLM v1.19.0 |
| Mem0 | 2.6 | 0 | agent memorysdkcoding agents | — |
| MLflow | 1.6 | 0 | llm-observabilityevaluationlineage | — |
| Kubeflow | 0.3 | 0 | mlopskubernetesml-pipelines | — |
| Label Studio | 0.3 | 0 | data-labelingannotationnightly-builds | — |
The 7 best LiteLLM alternatives, in depth
1. RAGFlow · velocity 7.5
RAGFlow's dev builds settle permission ownership while the rest is migrations and test plumbing.
Its velocity score of 7.5/10 reflects longer-term release cadence.
Where LiteLLM leans on llm gateway, breaking changes and supply chain security, RAGFlow focuses on rag, ai ml platforms and permissions.
RAGFlow and LiteLLM have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
2. Arize Phoenix · velocity 5.0
Phoenix evals pins out a compromised LiteLLM release and the emSign root.
Its velocity score of 5.0/10 reflects longer-term release cadence.
Where LiteLLM leans on llm gateway, breaking changes and supply chain security, Arize Phoenix focuses on llm observability, evals and tracing.
Arize Phoenix and LiteLLM have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full Arize Phoenix trajectory → · Compare LiteLLM vs Arize Phoenix →
3. AnythingLLM · velocity 3.1
AnythingLLM's Docker image can now run models itself, no Ollama or LM Studio required.
Over the last 30 days AnythingLLM shipped 1 meaningful update vs LiteLLM's 0, most recently “AnythingLLM v1.19.0”. Its velocity score of 3.1/10 blends that with longer-term release cadence.
Where LiteLLM leans on llm gateway, breaking changes and supply chain security, AnythingLLM focuses on local llm, self hosted and docker.
Over the last 30 days AnythingLLM has been shipping faster than LiteLLM — a point in its favour if release momentum matters to you.
Full AnythingLLM trajectory → · Compare LiteLLM vs AnythingLLM →
4. Mem0 · velocity 2.6
Mem0 is teaching coding agents to search memory less and trust it more.
Its velocity score of 2.6/10 reflects longer-term release cadence.
Where LiteLLM leans on llm gateway, breaking changes and supply chain security, Mem0 focuses on agent memory, sdk and coding agents.
Mem0 and LiteLLM have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
5. MLflow · velocity 1.6
MLflow 3.17.2 records dataset, scorer and agent lineage on every GenAI evaluation run.
Its velocity score of 1.6/10 reflects longer-term release cadence.
Where LiteLLM leans on llm gateway, breaking changes and supply chain security, MLflow focuses on llm observability, evaluation and lineage.
MLflow and LiteLLM have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
6. Kubeflow · velocity 0.3
Kubeflow's main repo is now a signpost: real releases live in seven subprojects.
Its velocity score of 0.3/10 reflects longer-term release cadence.
Where LiteLLM leans on llm gateway, breaking changes and supply chain security, Kubeflow focuses on mlops, kubernetes and ml pipelines.
Kubeflow and LiteLLM have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
7. Label Studio · velocity 0.3
Label Studio's only tracked signal is a nightly build toward 1.24.
Its velocity score of 0.3/10 reflects longer-term release cadence.
Where LiteLLM leans on llm gateway, breaking changes and supply chain security, Label Studio focuses on data labeling, annotation and nightly builds.
Label Studio and LiteLLM have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full Label Studio trajectory → · Compare LiteLLM vs Label Studio →
Frequently asked questions
What are the best alternatives to LiteLLM?
The top LiteLLM alternatives we currently track in ai ml platforms are RAGFlow, Arize Phoenix, AnythingLLM, Mem0, MLflow, ranked by recent ship velocity.
How is this list of LiteLLM alternatives ranked?
Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.
Can I compare LiteLLM directly with one of these alternatives?
Yes — every card has a "Compare with LiteLLM" link to a side-by-side /compare page.