# XUANTIE-RV/openc910

OpenXuantie - OpenC910 Core

Repository: https://github.com/XUANTIE-RV/openc910
Canonical: https://ross.abutalabs.com/products/openc910
Language: Verilog
License: Apache-2.0
License Family: permissive
Last push: 2024-06-28T12:18:17+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 1779, "days_push": 796, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1470, forks 398 (observed 2026-08-28T04:04:49.231896+00:00)

## What it is
OpenC910 is the open-source RTL (Verilog) implementation of T-Head's Xuantie C910 RISC-V processor core, released under Apache-2.0. It includes an RTL simulation environment (smart_run) with testbenches, test cases, and Makefile-driven workflows supporting Verilator, iverilog, VCS, and irun.

## Use cases
- simulate a RISC-V CPU core in Verilator
- study open-source high-performance RISC-V core RTL
- integrate a RISC-V processor core into a custom SoC
- run test cases against C910 RTL in a testbench
- customize and fork an open RISC-V out-of-order core

## When to choose
- you need the actual C910 RTL source for SoC integration or research
- you want to simulate or verify a production-grade RISC-V core
- you are studying industrial RISC-V microarchitecture in Verilog

## When to avoid
- you need a software toolchain or SDK rather than hardware RTL
- you want a simple, small FPGA-friendly soft core
- you need active community development rather than a maintained reference release

## Facets
- artifact type: library
- maturity: maintenance
- function: simulation, embedded
- domain: hardware, embedded-systems
- platform: cli
- tags: risc-v, cpu-core, verilog, rtl, open-source-hardware, processor-design, linux

## Member repositories
- XUANTIE-RV/openc910 (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:49.231896+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 2026-08-30T04:34:48.249809+00:00, confidence not recorded.
  - readme: https://github.com/XUANTIE-RV/openc910 (fetched 2026-08-28T04:04:49.231896+00:00, sha 525250377119)
- Data as of 2026-08-30T08:39:29.467469+00:00.