# nevalang/neva

Dataflow programming language where you write a program as a message-passing graph and everything runs in parallel by default. It has strong static types, compiles to machine code, interoperates with Go, and supports visual programming with a node editor. Extremely LLM-friendly too.

Repository: https://github.com/nevalang/neva
Canonical: https://ross.abutalabs.com/products/neva
Homepage: https://nevalang.org
Language: Go
License: MIT
License Family: permissive
Topics: compiler, golang, nevalang, fbp, flow-based, go, neva, concurrency, dataflow, fp, functional, hybrid-programming, immutable, language, llm-friendly, opinionated, parallelism, statically-typed, strongly-typed, visual-programing
Last push: 2026-08-23T13:52:45+00:00

## Health v2 (maintenance only)
Score: 98/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 96, longevity 100
- inputs: {"age_days": 1886, "days_push": 10, "days_rel": 25, "gap_med": 16.0, "n_releases_24m": 25}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1080, forks 40 (observed 2026-08-28T04:03:30.535585+00:00)

## What it is
Neva is a statically typed, compiled dataflow programming language where programs are expressed as message-passing graphs that run in parallel by default. It compiles to Go (and then to machine code or WASM), interoperates with Go, and supports hybrid text/visual programming.

## Use cases
- write concurrent programs without manual thread management
- model programs as dataflow graphs with message passing
- compile a new language to machine code via Go
- gradually adopt dataflow in existing Go codebases
- build programs visually with a node editor
- explore flow-based programming (FBP) with strong static types

## When to choose
- you want implicit parallelism with static type safety
- your problem naturally maps to a graph of message-passing components
- you need Go ecosystem interop from a new language
- you want an LLM-friendly language for code generation

## When to avoid
- you need a mature ecosystem with extensive libraries and tooling
- your team relies on mainstream control-flow paradigms and hiring pools
- you need guaranteed long-term stability for production-critical systems
- you need fine-grained control over scheduling or low-level performance tuning

## Facets
- artifact type: cli-tool
- maturity: active
- function: compiler, interpreter, concurrency, programming-language
- domain: programming-languages, compilers, developer-tools, cross-platform
- platform: windows, go, wasm, cross-platform
- tags: dataflow, flow-based-programming, statically-typed, parallelism, visual-programming, go-interop, message-passing, functional, programming-language, linux, macos

## Member repositories
- nevalang/neva (main) score 98

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:30.535585+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T08:33:36.567230+00:00, confidence not recorded.
  - readme: https://github.com/nevalang/neva (fetched 2026-08-28T04:03:30.535585+00:00, sha 0553c8eb63c2)
  - homepage: https://nevalang.org (fetched 2026-08-29T12:53:47.089934+00:00, sha 48cdb5d91a24)
- Data as of 2026-08-30T08:39:29.467469+00:00.