The right alternative depends on what you are replacing: price, AI quality, integrations, enterprise controls, or workflow focus. Start with the closest competitors, then use the related guides to narrow the decision.
An open-source AI gateway with request monitoring, cost tracking, caching, fallbacks, prompts, and evaluations
4.0
Helicone combines multi-provider routing and observability behind a familiar API, but proxy trust, logged payloads, retention, usage-based costs, and gateway dependency need careful architecture review.
Open-source tracing, evaluation, prompt management, and metrics for LLM applications
4.0
Langfuse unifies traces, costs, prompts, datasets, and evaluation with cloud and self-hosted options, but telemetry sensitivity, retention, operational load, and fast-rising plan costs demand a scoped pilot.
An evaluation, prompt, dataset, and observability platform for AI product development
4.0
Braintrust connects production traces, datasets, experiments, scorers, prompts, and human review, but judge validity, sensitive logs, retention, score volume, and release-gate design require calibration.
FreemiumCodeResearch
When to switch
Look for an alternative if Portkey is too expensive, lacks the integrations you need, or is not strong enough for your primary workflow.
What to compare
Compare output quality, setup time, pricing limits, supported models, API access, and whether the tool fits your team’s existing systems.
Best next step
Shortlist two options, run the same real workflow through both, and keep the one that reduces rework rather than the one with the longest feature list.