TOOL SIGNAL / ACTIVE

VegaLoad

VegaLoad

Load Testing Open Source Self-hosted

NOT YET REVIEWED · CATALOG DATA

Pricing model
Free; Apache License 2.0.
First released
2026
Last verified
Answer

VegaLoad is an open-source load testing tool distributed as one static binary. Scenarios are written in JavaScript (.vl.js) or Python, and drivers cover HTTP/1.1 and HTTP/2, gRPC, WebSocket, MQTT, Kafka, PostgreSQL, MySQL, Redis, RabbitMQ, FTP, SFTP, and raw TCP and UDP; a protocol-direct mode runs straight from CLI flags with no script at all. Runs emit a self-contained HTML report plus JSON, and support thresholds, checks, baseline gates, JUnit output, and data files for CI. A built-in MCP server registers VegaLoad with agent hosts such as Claude Code or Cursor so an agent can run tests and read results through the same commands a human would type, though every feature also works from a plain terminal.

What it is

VegaLoad is an open-source load testing tool distributed as one static binary. Scenarios are written in JavaScript (.vl.js) or Python, and drivers cover HTTP/1.1 and HTTP/2, gRPC, WebSocket, MQTT, Kafka, PostgreSQL, MySQL, Redis, RabbitMQ, FTP, SFTP, and raw TCP and UDP; a protocol-direct mode runs straight from CLI flags with no script at all. Runs emit a self-contained HTML report plus JSON, and support thresholds, checks, baseline gates, JUnit output, and data files for CI. A built-in MCP server registers VegaLoad with agent hosts such as Claude Code or Cursor so an agent can run tests and read results through the same commands a human would type, though every feature also works from a plain terminal.

Best for

  • Load Testing scenarios across typical web and service stacks
  • Teams that prefer open-source licensing and self-hosting options
  • Groups comfortable scripting in JavaScript, Python

Not the best fit when

  • Teams unwilling to operate generators, results storage, and scaling

Architecture and concurrency

VegaLoad is commonly operated as self-hosted software with scenario authoring in JavaScript, Python. Concurrency and distribution depend on how you size workers or injectors.

Fact sheet

Specs

CATALOG LAST VERIFIED · 2026-08-12 · CURATED BY NAVEENKUMAR NAMACHIVAYAM

Frequently asked

ANSWER-SHAPED
Who is VegaLoad for?

VegaLoad is best for engineers designing load, stress, and performance tests for web and service systems. It is open source, so teams can self-host and extend it. Vendor: VegaLoad. Deployment model: self-hosted. Free; Apache License 2.0. Confirm details against the official site and a short proof-of-concept in your environment.

How does VegaLoad differ from Apache JMeter?

Compared with Apache JMeter, scripting centers on JavaScript, Python rather than Java, Groovy. VegaLoad lists protocols HTTP, HTTPS, HTTP/2, gRPC, WebSocket, MQTT, Kafka, PostgreSQL, MySQL, Redis, RabbitMQ, FTP, SFTP, TCP, UDP; Apache JMeter lists HTTP, HTTPS, JDBC, JMS, FTP, TCP. Status is active versus active. Use the Test Rig to compare full specs side by side before a proof-of-concept.

What scripting language and concurrency model does VegaLoad use?

VegaLoad uses JavaScript, Python for scripting or scenario definition. Runtime model: code-first scenarios where virtual users execute scripted behavior under load. OS support: Windows, macOS, Linux. Protocols: HTTP, HTTPS, HTTP/2, gRPC, WebSocket, MQTT, Kafka, PostgreSQL, MySQL, Redis, RabbitMQ, FTP, SFTP, TCP, UDP. Match these to how your team already authors tests and which systems you must drive under load.

What is the cloud or enterprise path for VegaLoad?

VegaLoad is primarily self-hosted; teams typically run generators on their own machines, CI runners, or private cloud. Plan for generator capacity, network access to targets, and result storage yourself. As open source, commercial support or hosted siblings may exist separately. Check the official site. Pricing note: Free; Apache License 2.0.

What are known limitations of VegaLoad?

VegaLoad limitations to weigh: self-hosted tools require you to provision, scale, and observe load generators yourself. Status: active. Always validate against your target protocols and scale with a proof-of-concept. Confirm details against the official site and a short proof-of-concept in your environment.