AI-ML-PLATFORMS
RAGFlow's nightlies add tenant roles and enterprise hooks while 1.0 waits.
Alternatives · ai ml platforms
Arize Phoenix alternatives
The best Arize Phoenix alternatives in ai ml platforms, ranked by Sparkpulse's velocity_score.
Updated Nov 14, 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 21.1 lists prompt and dataset versions from the CLI and fixes cost tracking.
Phoenix moved its TypeScript tracing to OpenTelemetry JS 3 on November 11, a breaking set across phoenix-otel 3.0 and phoenix-client 8.0. The server followed on November 13 with 21.1.0: CLI commands to list prompt and dataset versions, the model shown in the spans table, stricter cost-tracking rules and a long list of server error fixes. Evals 3.10 added OpenAI Decisions and Anthropic structured output the week before.
Velocity 5.0 · Last update 13h 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
MLflow 3.18 starts watching agents in production, not just grading them before release.
AI-ML-PLATFORMS
LiteLLM's LTS line adds Gemini batches and Azure image edits in back-to-back patches.
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.
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 observabilityopentelemetrycli | — |
| RAGFlow | 6.3 | 0 | ragmulti-tenantenterprise edition | — |
| MLflow | 6.3 | 1 | llm-observabilityevaluationagent-monitoring | MLflow 3.18.0 |
| LiteLLM | 5.0 | 0 | llm gatewayltscost tracking | — |
| 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 Arize Phoenix 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 Arize Phoenix leans on llm observability, opentelemetry and cli, RAGFlow focuses on rag, multi tenant and enterprise edition.
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. 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 Arize Phoenix's 0, most recently “MLflow 3.18.0”. Its velocity score of 6.3/10 blends that with longer-term release cadence.
Where Arize Phoenix leans on llm observability, opentelemetry and cli, MLflow focuses on llm observability, evaluation and agent monitoring.
Over the last 30 days MLflow has been shipping faster than Arize Phoenix — a point in its favour if release momentum matters to you.
Full MLflow trajectory → · Compare Arize Phoenix vs MLflow →
3. LiteLLM · velocity 5.0
LiteLLM's LTS line adds Gemini batches and Azure image edits in back-to-back patches.
Its velocity score of 5.0/10 reflects longer-term release cadence.
Where Arize Phoenix leans on llm observability, opentelemetry and cli, LiteLLM focuses on llm gateway, lts and cost tracking.
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 →
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 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, opentelemetry and cli, 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 →
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 Arize Phoenix leans on llm observability, opentelemetry and cli, 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.
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, opentelemetry and cli, 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, opentelemetry and cli, 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, MLflow, LiteLLM, AnythingLLM, Mem0, 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.