AI-ML-PLATFORMS
RAGFlow's nightlies add tenant roles and enterprise hooks while 1.0 waits.
Alternatives · ai ml platforms
LiteLLM alternatives
The best LiteLLM alternatives in ai ml platforms, ranked by Sparkpulse's velocity_score.
Updated Nov 14, 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 LTS line adds Gemini batches and Azure image edits in back-to-back patches.
LiteLLM 1.109.0 landed on November 11 with mid-stream model fallback and the Chat UI on by default, and a security fix (#51254) reached four release lines the next night. Since then the LTS line moved twice: 1.108.7 adds Gemini batches, Azure Foundry image edits and Bedrock image search plus billing fixes, and 1.108.8 fixes an MCP sign-in loop. Dev builds toward 1.111 add per-customer usage tracking and a whole-request timeout.
Velocity 5.0 · Last update 13h 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
MLflow 3.18 starts watching agents in production, not just grading them before release.
AI-ML-PLATFORMS
Phoenix 21.1 lists prompt and dataset versions from the CLI and fixes cost tracking.
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
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 gatewayltscost tracking | — |
| RAGFlow | 6.3 | 0 | ragmulti-tenantenterprise edition | — |
| MLflow | 6.3 | 1 | llm-observabilityevaluationagent-monitoring | MLflow 3.18.0 |
| Arize Phoenix | 5.0 | 0 | llm observabilityopentelemetrycli | — |
| AnythingLLM | 3.1 | 1 | local llmself-hosteddocker | AnythingLLM v1.19.0 |
| Mem0 | 2.6 | 0 | agent memorysdkcoding agents | — |
| Kubeflow | 0.3 | 0 | mlopskubernetesml-pipelines | — |
| Label Studio | 0.3 | 0 | data-labelingannotationnightly-builds | — |
The 7 best LiteLLM alternatives, in depth
1. RAGFlow · velocity 6.3
RAGFlow's nightlies add tenant roles and enterprise hooks while 1.0 waits.
Its velocity score of 6.3/10 reflects longer-term release cadence.
Where LiteLLM leans on llm gateway, lts and cost tracking, RAGFlow focuses on rag, multi tenant and enterprise edition.
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. MLflow · velocity 6.3
MLflow 3.18 starts watching agents in production, not just grading them before release.
Over the last 30 days MLflow shipped 1 meaningful update vs LiteLLM's 0, most recently “MLflow 3.18.0”. Its velocity score of 6.3/10 blends that with longer-term release cadence.
Where LiteLLM leans on llm gateway, lts and cost tracking, MLflow focuses on llm observability, evaluation and agent monitoring.
Over the last 30 days MLflow has been shipping faster than LiteLLM — a point in its favour if release momentum matters to you.
3. Arize Phoenix · velocity 5.0
Phoenix 21.1 lists prompt and dataset versions from the CLI and fixes cost tracking.
Its velocity score of 5.0/10 reflects longer-term release cadence.
Where LiteLLM leans on llm gateway, lts and cost tracking, Arize Phoenix focuses on llm observability, opentelemetry and cli.
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 →
4. 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, lts and cost tracking, 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 →
5. 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, lts and cost tracking, 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.
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, lts and cost tracking, 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, lts and cost tracking, 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, MLflow, Arize Phoenix, AnythingLLM, Mem0, 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.