AI-ML-PLATFORMS
RAGFlow's dev builds settle permission ownership while the rest is migrations and test plumbing.
Alternatives · ai ml platforms
Arize Phoenix alternatives
The best Arize Phoenix alternatives in ai ml platforms, ranked by Sparkpulse's velocity_score.
Updated Oct 28, 2026
Looking for the best alternatives to Arize Phoenix? 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, Arize Phoenix 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 Arize Phoenix
Phoenix evals pins out a compromised LiteLLM release and the emSign root.
Arize Phoenix is shipping near-daily releases across its server, Python evals and TypeScript packages. The past week was mostly fixes and dependency hygiene: evals 3.9.3 excluded the compromised LiteLLM 1.107.0 and required a certifi build that distrusts the emSign root, and later patches refreshed playground presets and evals kwargs handling. Server 20.25 and 20.26 mainly carried the team's internal issue-to-PR agent tooling, plus a service.version attribute on Phoenix's own OpenTelemetry resource.
Velocity 5.0 · Last update 22h ago
Top 7 alternatives to Arize Phoenix
Ranked by recent ship velocity. Tap any card for the full editorial breakdown, or pivot to a head-to-head.
AI-ML-PLATFORMS
LiteLLM's 1.109 dev build stacks 704 PRs and 15 required config changes.
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.
Arize Phoenix 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 |
|---|---|---|---|---|
| Arize Phoenix (baseline) | 5.0 | 0 | llm observabilityevalstracing | — |
| RAGFlow | 7.5 | 0 | ragai-ml-platformspermissions | — |
| LiteLLM | 5.0 | 0 | llm gatewaybreaking changessupply-chain security | — |
| 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 Arize Phoenix 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 Arize Phoenix leans on llm observability, evals and tracing, RAGFlow focuses on rag, ai ml platforms and permissions.
RAGFlow and Arize Phoenix have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full RAGFlow trajectory → · Compare Arize Phoenix vs RAGFlow →
2. LiteLLM · velocity 5.0
LiteLLM's 1.109 dev build stacks 704 PRs and 15 required config changes.
Its velocity score of 5.0/10 reflects longer-term release cadence.
Where Arize Phoenix leans on llm observability, evals and tracing, LiteLLM focuses on llm gateway, breaking changes and supply chain security.
LiteLLM and Arize Phoenix have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full LiteLLM trajectory → · Compare Arize Phoenix vs LiteLLM →
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 Arize Phoenix's 0, most recently “AnythingLLM v1.19.0”. Its velocity score of 3.1/10 blends that with longer-term release cadence.
Where Arize Phoenix leans on llm observability, evals and tracing, AnythingLLM focuses on local llm, self hosted and docker.
Over the last 30 days AnythingLLM has been shipping faster than Arize Phoenix — a point in its favour if release momentum matters to you.
Full AnythingLLM trajectory → · Compare Arize Phoenix 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 Arize Phoenix leans on llm observability, evals and tracing, Mem0 focuses on agent memory, sdk and coding agents.
Mem0 and Arize Phoenix 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 Arize Phoenix leans on llm observability, evals and tracing, MLflow focuses on llm observability, evaluation and lineage.
MLflow and Arize Phoenix have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full MLflow trajectory → · Compare Arize Phoenix vs MLflow →
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 Arize Phoenix leans on llm observability, evals and tracing, Kubeflow focuses on mlops, kubernetes and ml pipelines.
Kubeflow and Arize Phoenix have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full Kubeflow trajectory → · Compare Arize Phoenix vs Kubeflow →
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 Arize Phoenix leans on llm observability, evals and tracing, Label Studio focuses on data labeling, annotation and nightly builds.
Label Studio and Arize Phoenix 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 Arize Phoenix vs Label Studio →
Frequently asked questions
What are the best alternatives to Arize Phoenix?
The top Arize Phoenix alternatives we currently track in ai ml platforms are RAGFlow, LiteLLM, AnythingLLM, Mem0, MLflow, ranked by recent ship velocity.
How is this list of Arize Phoenix alternatives ranked?
Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.
Can I compare Arize Phoenix directly with one of these alternatives?
Yes — every card has a "Compare with Arize Phoenix" link to a side-by-side /compare page.