The Feldera Incremental Computation Engine

A simple & elegant experiment tracking framework that integrates persistence logic & best practices directly into Python

Implements the Tsetlin Machine, Coalesced Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, and Weighted Tsetlin Machine, with support for continuous features, drop clause, Type III Feedback, focused negative sampling, multi-task classifier, autoencoder, literal budget, and one-vs-one multi-class classifier. TMU is writ…

Incremental Program Analysis Framework

Multi-core Window-Based Stream Processing Engine

Incremental computations engine

Compile, verify, and run multi-agent DAGs across Pi, Codex, Claude Code, OpenCode, and Grok—with resume, replay, and incremental recomputation.

This repository contains the entire code for the .NET Modeling Framework

Incremental View Maintenance on DuckDB

C++ library for incremental computing

Incremental View Maintenance support for DuckDB

Streaming reasoning layer for AI. Incremental rules engine with vector search, graph traversal, and explainable derivation traces.

DBToaster OCAML code

Micro Implementation of Incremental Computation in Clojure

Content-addressed caching and run history for Python batch pipelines — built for steps you can't afford to re-run

Fine-grained incremental-computation for Rust

Incremental computation engine for Rust and Python: tracks dependencies between computations and only reruns what changed. Combines function DAGs with delta-based collections in a single runtime.

Incremental Compuation in MoonBit.

Recause is an experimental programming model and runtime for writing interactive software as ordinary code. Flows stop when information is missing, represent progress in explicit serializable state, and run again when new state arrives—without callbacks, explicit resume logic, or hand-authored state machines.

A small DSL in Kotlin for incremental computation, inspired by the incremental library for OCaml.