Open Source API Management
An API gateway sits in front of everything you publish, so it sees every request, holds your auth, and becomes the single point that can take all your services down at once - which makes understanding exactly what it does to traffic non-negotiable. The open source gateways below let you read the routing, rate-limit, and auth logic instead of trusting a black box, and run on your own infrastructure so the layer that fronts your APIs isn't itself a third-party dependency you can't inspect.

Strapi
Model content visually and Strapi generates REST and GraphQL APIs with a self-hosted admin

Kong
Cloud-native API, LLM, and MCP gateway with plugin-based traffic control

Ory Hydra
OpenID Certified OAuth 2.0 and OpenID Connect server for SSO, API access, and machine-to-machine authorization

Windmill
Code-first platform for turning scripts into internal APIs, jobs, workflows, webhooks, and UIs

Apache APISIX
Dynamic, real-time API gateway with AI proxying, load balancing, and traffic control

Ory Kratos
API-first identity and user management for login, registration, recovery, verification, and profile flows

Unleash
Open-source feature management platform for targeted rollouts, feature flags, and self-hosted control

Tyk
Open source API gateway for REST, GraphQL, TCP, and gRPC with rate limiting, auth, and analytics

KeystoneJS
Define a content schema in code and get a GraphQL API plus an admin UI for Node.js
How to choose an open source API management platform
Start with the gateway and control plane architecture. Some API management stacks put policy, routing, and analytics in one deployable; others separate a lightweight data plane from an admin plane and database. That choice drives latency, failure modes, and where you can run gateways - edge clusters, internal networks, or per-region Kubernetes. Check whether configuration changes require reloads, how nodes discover each other, and what happens when the control plane is down. For high-volume APIs, the boring details of connection reuse, TLS termination, and plugin execution cost matter more than dashboard polish.
Evaluate the policy model before the feature checklist. API management becomes hard when rate limits, quotas, key rotation, JWT validation, OAuth flows, mTLS, and request transformations interact. Look for explicit policy ordering, reusable policy bundles, environment-specific overrides, and safe rollback. If multiple teams publish APIs, admin RBAC, audit logs, secret storage, and approval workflows are not extras - they are the difference between a shared platform and a privileged proxy nobody trusts. Also verify how custom plugins are sandboxed, reviewed, and upgraded.
Treat API descriptions and operational data as first-class design inputs. Strong API management should work cleanly with OpenAPI files, CI/CD pipelines, service discovery, log pipelines, metrics, tracing, and your identity provider. Decide whether the source of truth is Git, the admin UI, or an external catalog; mixed ownership usually creates drift. For the exit path, test export of routes, consumers, credentials metadata, policies, and portal content. Some runtime state, such as counters and tokens, will not move cleanly, so plan cutovers around that reality.
Related categories
Frequently asked questions
What is the difference between an API gateway and API management?+
An API gateway is the runtime component that accepts traffic, applies policy, and routes requests. API management is the wider system around that gateway: publishing APIs, managing consumers, issuing credentials, enforcing quotas, collecting analytics, and sometimes running a developer portal. Some products blur the line, but the distinction matters when you need governance across many teams instead of a single reverse proxy.
Will open source API management actually lower costs?+
It can, but only if you account for operations. License cost may be lower than a proprietary platform, while engineering time, hosting, monitoring, upgrades, and support still count. Read the license carefully, especially around commercial use, plugins, and hosted service restrictions. Also check which features are open source versus reserved for paid editions, because API analytics and enterprise identity integration are common split points.
When is self-hosting API management worth it?+
Self-hosting makes sense when API traffic cannot leave your network, when latency to internal services matters, or when you need strict control over keys, logs, and policy changes. It also puts you on the hook for clustering, backups, patching, and incident response. If your team does not already operate distributed infrastructure, a managed control plane or vendor-supported distribution may be the lower-risk path.
What security features should I require before putting it in front of production APIs?+
Require TLS controls, mTLS support if services authenticate each other, strong JWT and OAuth validation, rate limiting, request size limits, audit logs, and secret handling that does not leak credentials into config files or logs. For higher-risk environments, look for independent security reviews, signed releases, documented vulnerability handling, and a clear patch process. Custom plugins need the same scrutiny as application code.
How much should OpenAPI support influence the choice?+
A lot, if your API lifecycle is specification-driven. OpenAPI import can reduce manual route creation, but the details matter: path matching, schema validation, generated documentation, versioning, and round-trip export are not always equal. Test one real API with messy headers, auth requirements, and multiple environments. If the tool cannot preserve your spec structure, teams will start editing gateway config by hand.
Does every API management tool handle REST, GraphQL, gRPC, and WebSockets?+
No. Many are strongest with HTTP and REST-style APIs, then vary widely on GraphQL, gRPC, streaming, and WebSocket behavior. Check whether the gateway can inspect messages deeply enough for the policies you need. A simple pass-through may be fine for routing, but it will not support field-level GraphQL limits, gRPC metadata policy, or meaningful analytics on long-lived connections.
What is the practical migration path from an existing gateway?+
Start by exporting routes, upstream targets, certificates, consumers, API keys, plugins, and rate-limit rules from the current gateway. Then map each policy to the new system and mark anything with no equivalent. Run both gateways in parallel behind DNS, a load balancer, or staged routing. Expect cleanup around path matching, header rewrites, custom scripts, and analytics history, which rarely transfers cleanly.
How should teams and permissions be modeled?+
Model permissions around API ownership, environment boundaries, and operational risk. A service team may need to edit routes and documentation for its APIs, while platform engineers control global plugins, certificates, and production promotion. Look for RBAC that separates read, publish, approve, and administer actions. In larger organizations, tenant isolation matters so one group cannot expose another team's internal API by mistake.
What performance tests matter for API management?+
Benchmark the policies you will actually run, not an empty proxy path. Include TLS termination, auth validation, rate limiting, request transformation, logging, and any custom plugin code. Measure p95 and p99 latency, not just average throughput. Also test reload behavior, control plane outages, burst traffic, and upstream failures. API management often fails first through policy storage, log volume, or misconfigured retries rather than raw proxy speed.
Is a developer portal required?+
Not always. Internal platforms may already publish API docs through an engineering portal or repository workflow. A built-in portal matters when external developers need self-service discovery, sign-up, credential requests, subscription plans, examples, and usage visibility. If you do use one, check whether portal content and API documentation can be versioned and exported. Otherwise the portal becomes another lock-in point.
How do backups and project risk affect the decision?+
Back up the control plane database, gateway configuration, certificates, signing keys, portal content, and any policy code. Runtime counters and analytics may need a separate retention plan. For project risk, prefer tools with readable configuration formats, documented APIs, and a believable export path. If the project is abandoned, you want to recover routes and policies without reverse-engineering a private database schema under pressure.