The Best Carbon Calculator Alternatives in 2026

Responsively App helps developers inspect responsive web designs in a browser built for device previews.

Carbon creates and shares images of source code with customizable presentation styles.

Yet-Another-Bench-Script estimates Linux server performance using fio, iperf3, and Geekbench.

Project Wallace analyzes CSS complexity, specificity, performance, and design tokens.

Stan provides software for Bayesian data analysis, including tools for sophisticated statistical modeling.

unpkg.ai creates JavaScript ESM modules on demand with language models, without signup or API keys.

PyDy provides Python tools for modeling the dynamics of multibody mechanical systems.

The Cerberus library validates data in Python with a lightweight and extensible design.

DSP.jl provides Julia routines for digital signal processing, including filter design, periodograms, convolution, and window functions.

Visualizer for neural network, deep learning and machine learning models.

Gitingest turns a Git repository into a plain text digest designed for use with language model prompts.

"An Open Source Language Model Specialized in Evaluating Other Language Models.".

Use LLM, a command-line utility and Python library, to interact with large language models.

App DevTools groups browser-based tools for text, web code, encoding, validation, and data conversion tasks.

Command Not Found helps users identify which package provides a missing command and how to install it.

The MCP Inspector provides a visual testing tool for Model Context Protocol servers.

Semantic Kernel helps integrate large language model technology into applications.

The repository collects server implementations for the Model Context Protocol.

GLM.jl provides generalized linear models in Julia, with documentation and examples for the package.

dl-translate is a library for translating text between languages using transformer models.

A curated collection of servers implementing the Model Context Protocol.

Machine learning pipelines can use whylogs, an open-source library for logging data quality and model performance.

This Node.js library implements Latent Dirichlet Allocation topic modeling in JavaScript.

Netron displays neural network, deep learning, and machine learning models across formats such as ONNX, TensorFlow, and PyTorch.