Keploy Alternatives in 2026: 7 Tools for API Testing

Keploy is one of the fastest-growing open-source API testing tools, and for good reason: it captures real API traffic with eBPF and turns it into replayable test cases and mocks, with no code changes and no per-language SDK. If you adopted it and are now looking for something else, you have usually hit one of a handful of real walls: replays that go flaky on non-deterministic data, the Linux-and-eBPF platform tax on macOS and Windows, coverage that only ever reflects the traffic you happened to record, or the fact that it does not touch UI or security testing at all. This guide is an honest roundup of seven alternatives, grouped by the approach they take, with verified pricing and the trade-offs each one makes. You can also see how Qodex compares against every major QA and API tool in one place.

One thing up front, because it sets up everything below: there is no free, drop-in open-source clone of Keploy's exact model. Keploy's trick is turning captured production traffic into tests automatically, and almost nothing else does that the same way. So "Keploy alternative" here does not mean an identical tool. It means a different way to get to the same goal, a reliable API regression suite you did not have to hand-write, without the constraint that pushed you to look in the first place.

Quick Comparison: Keploy Alternatives at a Glance

Keploy is Apache-2.0 open source, self-hostable, and free for its core engine, which is exactly why it stops many teams from paying for anything else. The metered cost only kicks in for its cloud and AI-generation layer. That makes the free floor here unusually high: Hoppscotch, Bruno, Schemathesis, and Pact's core are all free open source, and Qodex and KushoAI both have free tiers. Every paid option below has to beat "a free open-source client plus Schemathesis fuzzing your spec in CI," which is the honest bar and the right one.

What "Moving Off Keploy" Actually Means

Keploy did two distinct jobs. It captured real traffic and turned it into tests and mocks (the automation), and it gave you a regression net that flagged when behavior changed (the coverage). Every alternative below replaces one or both, but through a different mechanism. They fall into four approaches, and picking the wrong one is the expensive mistake here.

1. Agentic AI test generation (Qodex, KushoAI). An agent generates and maintains tests from a spec, a collection, or by exploring the API, and you steer it in plain English. This is the closest match to what you actually valued in Keploy, getting a maintained regression suite without hand-writing it, but with the traffic-capture dependency removed. Because the agent generates cases proactively, it can cover negative, edge, and security paths that your recorded traffic never exercised. Qodex extends the same agent to UI and security testing; Keploy does neither.

2. API clients and collection-based tools (Postman, Hoppscotch, Bruno). You author requests and assertions into collections by hand (with some AI assist) and run them locally and in CI. Maximum control, maximum manual effort. This is the honest "you write the tests yourself" path, and it is where most Keploy evaluators started before they wanted the recording to do it for them.

3. Spec and contract-driven tools (Schemathesis, Pact). Generate tests from the contract instead of from traffic. Schemathesis fuzzes edge cases from your OpenAPI or GraphQL spec; Pact verifies that independently deployed services honor the contracts they agreed on. Zero traffic capture, and no live end-to-end environment needed, but bounded by spec quality (Schemathesis) or only worth it with several services in play (Pact).

4. Record-replay traffic tools (Keploy's own category). Keploy is the open-source leader here. Commercial peers such as Speedscale exist, but no other free open-source tool replicates Keploy's eBPF zero-code capture. If traffic-to-test recording is specifically the feature you cannot live without, the honest answer is that leaving Keploy usually means changing approach, not swapping in an identical tool, so read the "when to stay on Keploy" section before you migrate anything.

The through-line: because Keploy's core is free, the do-it-yourself and open-source options are always the floor. Any paid agent has to be worth more than the maintenance hours it saves versus a free client plus spec-based fuzzing. That is the number to hold every tool below against, including ours.

The 7 Best Keploy Alternatives in 2026

1. Qodex

Qodex is an autonomous AI QA agent, and it is the closest thing to "the regression net Keploy gave you, without the recording." You point the agent at an OpenAPI 3.x or Swagger 2.0 spec, a Postman collection, or a live endpoint; it maps your endpoints, infers the auth scheme, and writes runnable HTTP test scenarios covering functional flows, auth, and error handling. You tell it what to verify in plain English, no DSL and no test scripts. Where Keploy learns tests from traffic you have to capture, Qodex generates them proactively, so it can write the negative, boundary, and security cases your recorded traffic never happened to hit.

Why it fits a Keploy refugee: the two constraints that most often push teams off Keploy are the platform tax and the coverage boundary, and Qodex removes both. There is no eBPF or Linux-kernel requirement, so it runs the same whether your team is on macOS, Windows, or Linux, with no VM layer in the middle. And one agent runs across API testing, UI testing, security checks, and pull request review, so the move is also a chance to close the UI and security gaps Keploy structurally never covered. Security is not a separate tool: it runs OWASP-aligned checks (IDOR and BOLA via multi-role auth profiles, auth bypass, injection) in the same suite as the functional tests.

Pricing: free tier, no credit card; paid plans are scoped with sales. See Qodex pricing. A structural difference worth naming: Keploy's core record-replay has no per-run cost, but its AI test generation is metered (5 credits a month free, then roughly $0.16 per test generated and $0.22 per test run on the Pro tier). Qodex replays are deterministic with no LLM in the loop, so once a scenario is saved, every rerun costs the same as the first, which is nothing extra, no matter how large the suite grows.

Pros:

• One agent covers API, UI, and security testing, plus PR review, not just backend APIs

• Generates tests from a spec, collection, or live endpoint, with no dependency on capturing production traffic

• Runs on any OS with no eBPF, Linux-kernel, or VM requirement

• Proactively writes negative, edge, and security cases that recorded traffic would miss

• Deterministic replays at zero LLM cost as the suite scales; schedules and CI webhook triggers included

• Generated tests are standard, ejectable scripts, not a proprietary runtime format

• Rated 4.9 out of 5 across 60 reviews on G2

Cons:

• Younger product than the established API clients on this list

• Not a manual request client for quick ad-hoc exploration; the built-in playground covers basics, but exploration is not the core workflow

• AI-generated tests still deserve human review before you promote them to scheduled runs

Best for: teams whose real loss with Keploy would be the automated regression net, and who want that back without the traffic-capture dependency, the Linux and eBPF constraints, or the API-only ceiling. You can start free and have the agent generate its first API suite against your staging environment in one session. For the security side specifically, see our best API security testing tools roundup.

2. KushoAI

KushoAI is the other agentic option, and conceptually the nearest to Qodex on the "AI writes your API tests" axis. It generates and maintains API test suites from an OpenAPI spec or a Postman collection, and its differentiator is self-healing: when the API contract drifts, it detects the change and updates the affected tests rather than leaving you to re-record or re-write them. That directly addresses the part Keploy leaves to you, keeping tests current as endpoints change.

How it differs from Keploy: KushoAI generates from the spec or collection using an LLM agent loop, not from captured traffic, so it shares Qodex's freedom from the record-replay dependency and the eBPF platform constraints. The trade-off is scope: it is focused on API test generation, not the broader UI and security surface.

Pricing: a free Developer Edition (up to 50 people, positioned for evaluation, covering API contract testing, UI testing, and test generation with community support), then Enterprise on a custom quote (OWASP security testing, CI/CD, SOC 2 and ISO 27001, SSO, RBAC, on-prem, SLA). There is no published mid-tier, so budget for a sales conversation to scale past the free tier.

Pros: genuinely addresses test maintenance via self-healing on API drift; usable free tier for real evaluation; contract and security testing bundled at the enterprise level. Cons: no public pricing between free and custom, which is opaque for mid-size budgeting; young company with limited independent track record; the free tier is gated by team size rather than usage.

Best for: teams that already maintain an OpenAPI spec and want generated API tests that survive spec changes without manual upkeep, and are comfortable with a sales process to grow.

3. Postman

Postman is the market-default API client, and for many Keploy evaluators it is the tool they were using before they wanted automation to write the tests for them. It is not a record-replay tool; you author requests, collections, and assertions by hand, then run them in CI with Newman (its Apache-2.0 open-source CLI runner). Its Postbot AI assistant can generate test scripts for existing requests, and a built-in Interceptor can capture HTTP traffic into a collection, though that captures requests, it does not auto-generate assertions from them the way Keploy does.

How it differs from Keploy: this is the manual, high-control end of the spectrum. You get the biggest ecosystem, mock servers, monitors, and docs in one hosted platform, at the cost of writing and maintaining every test yourself. It is proprietary and has no self-host option (Newman aside).

Pricing (checked 2026): Free ($0, one user, 50 AI credits a month); Solo $9 a month; Team $19 per user a month; Enterprise $49 per user a month, all billed annually. AI credits are metered and can run out mid-workflow.

Pros: largest ecosystem and team familiarity; design, testing, docs, mocks, and monitoring in one tool; free CI via Newman. Cons: not open source and no self-host; metered AI credits; a heavier desktop app than the git-native clients. See our full Postman alternatives guide for the wider client field.

Best for: teams that want one shared, hosted platform for API design plus manual and CI testing and do not need self-hosting or automated test generation.

4. Hoppscotch

Hoppscotch is the open-source answer to Postman: an MIT-licensed, web-first API client that you can self-host with the Docker configs in its repo. It covers REST, GraphQL, WebSocket, SSE, and more, with collections, environments, and a collection runner, and its core is genuinely free rather than a trial.

How it differs from Keploy: same manual, collection-based model as Postman, with self-hosting as the headline advantage. If part of why you ran Keploy was to keep data off third-party clouds, Hoppscotch gives you that same control in a client, but you are back to authoring tests by hand.

Pricing (checked 2026): free and fully self-hostable at the core tier; the cloud Organization plan is $6 per user a month billed annually. Enterprise pricing is not published, so treat any third-party number with suspicion and get a direct quote.

Pros: genuinely free and self-hostable core; lighter and faster than Postman; real MIT license, no vendor lock-in. Cons: smaller ecosystem than Postman; opaque enterprise pricing; fewer built-in AI features. It is a request client, not an automated test generator.

Best for: teams that want Postman-equivalent functionality but need self-hosting or want to avoid depending on a proprietary hosted tool.

5. Bruno

Bruno is an MIT-licensed, git-native, offline-first API client that stores every collection as plain-text .bru files on disk. That makes collections diffable and reviewable in pull requests like any other code, which is its defining difference from Postman and Hoppscotch. It is a local desktop and CLI app by design, with no cloud sync even as an option.

How it differs from Keploy: like the other clients, this is a manual authoring tool, not a traffic recorder. What it shares with Keploy's spirit is the local-first, no-cloud stance, and it takes that further by keeping everything in Git alongside your code.

Pricing (checked 2026): free open-source core; Pro $6 per user a month and Ultimate $11 per user a month, both billed annually, adding native Git integration, an AI assistant, SSO, and audit logs. The older one-time Golden Edition license has been discontinued in favor of these subscription tiers; existing buyers keep perpetual access.

Pros: git-native workflow that fits engineering teams reviewing collections in PRs; true offline and local-first, nothing leaves your machine on the free tier; cheapest paid tier of the three clients. Cons: smaller community than Postman or Hoppscotch; no cloud sync even when a distributed team would want it; younger project with less enterprise track record.

Best for: engineering-first teams that want API collections versioned in Git like code and are happy with, or prefer, no cloud dependency.

6. Schemathesis

Schemathesis is the spec-driven opposite of Keploy. Instead of learning tests from observed traffic, it generates them from your OpenAPI or GraphQL schema, using property-based testing (built on Python's Hypothesis library) to fuzz malformed enums, boundary integers, unicode edge cases, and other inputs the spec technically allows, then checks that responses conform to the schema and do not crash. It is MIT-licensed and fully free.

How it differs from Keploy: Keploy's coverage is a function of the traffic you recorded; Schemathesis needs zero traffic and finds bugs a human would never think to write a test for. The trade is that it is only as good as your spec, and it verifies schema conformance and crash resistance, not business-logic correctness.

Pricing: fully open source, no paid tier. A commercial SaaS layer (Schemathesis.io) existed but has been discontinued, so there is no hosted or managed option today.

Pros: finds edge cases no hand-written test would; needs only a valid spec, no traffic and no manual authoring; genuinely free with no paywall. Cons: output quality tracks spec quality, so a loose OpenAPI doc yields shallow or noisy tests; catches conformance and crash bugs, not logic bugs; no managed option since the SaaS shut down. If GraphQL is your surface, see our GraphQL API testing guide.

Best for: teams with a well-maintained OpenAPI or GraphQL spec who want automated edge-case fuzzing in CI without writing test cases by hand.

7. Pact

Pact solves a problem none of the tools above, or Keploy, actually touches: consumer-driven contract testing. Consumers define the interactions they expect, providers verify against them, and you catch breaking API changes across independently deployed services without spinning up a full integration environment. It is MIT-licensed with implementations in nine-plus languages, and the Pact Broker (its contract storage and verification hub) is self-hostable.

How it differs from Keploy: this is a different axis entirely. Keploy records one service's traffic to build a regression net; Pact verifies that two or more services still agree on their contract before either deploys. If your Keploy pain was really "we keep breaking each other across service boundaries," a record-replay tool was never the right fix and Pact is.

Pricing: core Pact plus the self-hosted Broker is free and open source. PactFlow, the hosted commercial layer (owned by SmartBear), has a free Starter tier (2 integrations), a Team tier at $127 a month or roughly $115 a month billed annually, and quote-based Enterprise with SSO, RBAC, and on-prem.

Pros: catches cross-service breakage that single-service tools miss, and enables safe independent deploys without a shared staging environment; genuinely open source with a real free self-hosted broker; backed by SmartBear for stability. Cons: a steep conceptual shift, contract testing is a mindset, not a drop-in; only pays off with two or more independently deployed services, so it is overkill for a monolith or single API; PactFlow's free tier is thin. For the fundamentals, see our contract testing guide.

Best for: microservice teams where multiple teams own multiple services and need to catch breaking changes before deploy, not teams testing a single API surface.

How to Move From Keploy Without Losing Coverage

Run this in order. Each step is also the exact question to ask any tool on this list before you commit.

Step 1: Export your Keploy test cases and your spec

Before anything else, get your recorded assets out. Keploy stores test cases and mocks as YAML tied to its runtime, so pull that YAML and, more importantly, your OpenAPI or Swagger spec into your own repository. For most alternatives the spec is the more portable and useful asset, because agentic and spec-driven tools (Qodex, KushoAI, Schemathesis) generate directly from it. Confirm the spec is accurate and current, because from here on it is doing the work your captured traffic used to.

Step 2: Decide what you are actually replacing

Keploy did two jobs: it captured traffic into tests, and it gave you a regression net. Be honest about which one was the reason you used it. If you valued the automated generation, you want an agentic tool (Qodex, KushoAI). If you only ever used it as a coverage net and are happy to author tests, a client (Postman, Hoppscotch, Bruno) or a spec-driven tool (Schemathesis, Pact) is enough. Choosing the wrong category is the expensive mistake, so name the job first.

Step 3: Check platform fit and coverage scope

Two of Keploy's hard edges are the reasons people leave, so screen for them explicitly. Platform: does the tool run natively on your team's actual machines, or does it need a Linux kernel, eBPF, and a VM layer the way Keploy does on macOS and Windows? Scope: Keploy is API and backend only, so if you also need UI or security testing, confirm the replacement covers it (Qodex does both in one agent; the clients and spec tools do not). Do not migrate only to rediscover the same gaps.

Step 4: Verify test portability and CI integration

Ask one blunt question of every tool: if we leave, do we walk away with runnable, standard tests, or a proprietary format? Qodex generates standard, ejectable scripts; Postman, Hoppscotch, Bruno, Schemathesis, and Pact all leave you with open or standard artifacts. Then confirm it plugs into the CI you actually run and can gate a pull request, because a regression net that does not block a bad merge is theater. All seven integrate with common CI; verify yours specifically.

Step 5: Pilot on your five most critical endpoints

Do not migrate the whole suite blind. Pick the five endpoints that would hurt most if they broke, rebuild or generate them in your top one or two candidates, and run them for a sprint. You are measuring the thing Keploy actually did for you: how much authoring and maintenance the tool removes versus how much it hands back, and whether replays stay stable without constant noise tuning. That number, not the marketing, decides the migration.

Decision Framework: Match the Tool to Your Team

Find your row:

When You Should Stay on Keploy

Keploy is free, open source, and genuinely clever, and for a real set of teams it is the right call. Do not migrate on principle. Stay on Keploy if the following describe you.

Your dev loop is Linux and Docker native. The eBPF platform tax is only a tax if you are on macOS or Windows. If your team develops on Linux, or is fine running the capture in Linux CI (almost everyone already does), the biggest friction point disappears and the zero-code, kernel-level capture is a real advantage across a polyglot backend.

You want a zero-cost regression net and nothing more. The core eBPF record-replay engine is Apache-2.0 and self-hosted with no per-run cost. A team that never touches the metered AI-generation layer pays nothing, forever. If your need is "bootstrap a backend regression safety net from real traffic fast," that is exactly what Keploy is good at, and no paid tool beats free at that specific job.

You do not need UI or security testing from this tool, and you accept the model's limits. Keploy is a regression net, not a substitute for negative-test design, security scanning, or UI coverage. If you understand that coverage is a function of the traffic you exercise, that replays will need periodic noise-config tuning as APIs evolve, and that comparisons are essentially exact-match-minus-a-noise-list, then it is a legitimate, free layer to bolt on.

It stops being the right call the moment you are mostly on macOS or Windows locally, you need UI or security coverage in the same tool, or you need replay comparisons smarter than a static noise list, which is exactly where Keploy's own still-open GitHub issues put the tool today. If any of those is you, the alternatives above are worth the switch.

Choosing Your Keploy Alternative

Separate the two jobs Keploy did. Capture and coverage are different, and different tools replace each. If automated generation was the value, an agent (Qodex, KushoAI) replaces it. If you only wanted a coverage net, a free client or spec-driven fuzzer does the job. Decide which one you are paying to get back before you compare features.

Do not expect a drop-in clone. Nothing free reproduces Keploy's exact eBPF traffic capture, so choose by approach, not by feature-parity. The right question is not "which tool records traffic like Keploy," it is "which approach gets my API a reliable regression suite given how my team actually works."

Weigh the platform tax honestly. If your team is off Linux, running Keploy inside a VM or container layer is daily friction that an agentic or client-based tool simply does not have. That friction is a real cost even though it never shows up on a pricing page.

Count maintenance hours, not just licence fees. A free tool plus an engineer tuning noise configs and re-recording flows as APIs change can cost far more than the licence line suggests. Tools that generate and maintain tests change that math; measure the hours, not the sticker.

Pilot before you commit. Every claim on this page, including ours, should survive a one-sprint pilot on your five most critical endpoints. Migrate deliberately, measure the maintenance you get back, and let that decide.

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Frequently Asked Questions

Is Keploy open source and free?

Yes. Keploy's core is Apache-2.0 open source and self-hostable, and the eBPF record-replay engine has no per-run cost, which is why many teams never pay for anything else. The metered cost applies only to its cloud and AI test-generation layer, where the free tier includes a small monthly allowance of AI credits and the Pro tier charges per test generated and per test run. If you use only the core capture-and-replay engine, Keploy is genuinely free.

Why do teams look for Keploy alternatives?

Usually one of four reasons. Replay brittleness: non-deterministic fields like timestamps, UUIDs, and random IDs cause response mismatches, and Keploy's own docs list this as an expected failure category. The platform tax: eBPF is Linux-kernel only, so macOS and Windows require Docker or a VM layer. The coverage boundary: tests only reflect the traffic you actually recorded, so untested and negative paths are not captured unless real traffic hit them. And scope: Keploy is API and backend only, with no UI testing and no real security or DAST scanning.

What is the closest alternative to Keploy?

It depends on what you valued. If it was the automated regression net without hand-writing tests, Qodex is the closest, an agent that generates and maintains runnable API tests from a spec or collection, with no traffic-capture dependency and no eBPF or platform constraints, plus UI and security testing in the same agent. KushoAI is the other agentic option, focused on API test generation that self-heals when the spec changes. There is no free open-source tool that clones Keploy's exact eBPF traffic capture.

Does Keploy work on macOS and Windows?

Not natively. Keploy's capture relies on eBPF, which is a Linux-kernel feature, so there is no native macOS or Windows support. On macOS it runs inside Docker Desktop or a Linux VM (Lima or Colima); on Windows it runs under WSL2 or Docker configured for WSL2. Native Linux needs kernel 5.15 or newer and root or sudo. If your team develops on macOS or Windows, every Keploy run goes through a VM or container layer, which is a common reason teams evaluate agentic or client-based tools that run on any OS directly.

Can Keploy do UI or security testing?

No. Keploy is an API and backend testing tool. There is no browser automation, DOM interaction, or visual regression testing, so it is not a UI testing tool, and its "end-to-end" support means end-to-end API and service flows, not UI end-to-end in the Playwright or Cypress sense. It also ships no security scanning or DAST feature; its compliance certifications refer to its own cloud infrastructure, not to a security-testing capability for your API. If you need UI or security coverage, Qodex runs both alongside API testing in one agent.

What is the best free Keploy alternative?

For manual clients, Hoppscotch and Bruno are the strongest free open-source options; Hoppscotch is self-hostable in the browser and Bruno stores collections as git-friendly files on disk. For automated testing without hand-writing cases, Schemathesis is free and fuzzes edge cases straight from your OpenAPI or GraphQL spec, and Pact's core with the self-hosted broker is free for contract testing. Qodex and KushoAI both have free tiers if you want agentic AI test generation rather than a manual client.

Should I stop using Keploy?

Not necessarily. If your team develops on Linux (or runs capture in Linux CI), you want a zero-cost regression net and nothing more, and you accept that coverage tracks the traffic you exercise and that replays need periodic noise tuning, Keploy is a legitimately good free layer to keep. Switch when you are mostly on macOS or Windows locally, when you need UI or security testing in the same tool, or when you need replay comparisons smarter than a static noise list. Run a one-sprint pilot of an alternative on your five most critical endpoints and let the maintenance you get back decide.