riscv-formal VS lion

Compare riscv-formal vs lion and see what are their differences.

riscv-formal

RISC-V Formal Verification Framework (by SymbioticEDA)

lion

Where Lions Roam: RISC-V on the VELDT (by standardsemiconductor)
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riscv-formal lion
10 10
550 242
3.6% 0.0%
0.0 4.5
about 2 years ago 13 days ago
Verilog Haskell
ISC License BSD 3-clause "New" or "Revised" License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

riscv-formal

Posts with mentions or reviews of riscv-formal. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-10.

lion

Posts with mentions or reviews of lion. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-08-28.

What are some alternatives?

When comparing riscv-formal and lion you can also consider the following projects:

riscv-arch-test

prometheus-cpp - Prometheus Client Library for Modern C++

rp32 - RISC-V processor with CPI=1 (every single instruction executed in a single clock cycle).

cocotb - cocotb, a coroutine based cosimulation library for writing VHDL and Verilog testbenches in Python

riscv-tests

atomic-story - Understanding how atomics and memory ordering work

Cores-VeeR-EH1 - VeeR EH1 core

VexRiscv - A FPGA friendly 32 bit RISC-V CPU implementation

autofpga - A utility for Composing FPGA designs from Peripherals

libcxx - Project moved to: https://github.com/llvm/llvm-project

openarty - An Open Source configuration of the Arty platform

wit - WIT (Wikipedia-based Image Text) Dataset is a large multimodal multilingual dataset comprising 37M+ image-text sets with 11M+ unique images across 100+ languages.