Search Results for "open source assembly software source code"

Sort By:

Showing 2 open source projects for "open source assembly software source code"

View related business solutions

Design Haskell Clear Filters & Widen Search

Ship Agents Faster
Transform your applications and workflows into powerful agentic systems at global scale.

Gemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.

Start Free
One Monitoring Tool for IT, OT and Cloud | Free Trial
Vendor-agnostic monitoring across on-prem servers, cloud platforms and OT devices, all in one dashboard. No more tool sprawl.

Modern infrastructure spans data centers, cloud platforms and factory floors, and every blind spot between them is a risk. PRTG supports SNMP, WMI, SSH and other standard protocols to monitor IT, OT and hybrid environments through one customizable dashboard. Build the views your team needs, from network health to application performance, without switching tools. Try PRTG free for 30 days now.

Try PRTG Free
1

Gitit

A wiki using HAppS, pandoc, and git

Gitit is a wiki application written in Haskell that uses Happstack for serving and Pandoc for markup conversion. Wiki content and attachments are stored in Git, Darcs, or Mercurial repositories, allowing versioning via VCS or web editing. To run gitit, you'll need git in your system path. (Or darcs or hg, if you're using darcs or mercurial to store the wiki data.) Gitit assumes that the page files (stored in the git repository) are encoded as UTF-8. Even page names may be UTF-8 if the file...

Downloads: 0 This Week

Last Update: 2026-09-29
See Project
2

TensorFlow Haskell

Haskell bindings for TensorFlow

The tensorflow-haskell package provides Haskell-language bindings for TensorFlow, giving Haskell developers the ability to build and run computation graphs, machine learning models, and leverage TensorFlow's ecosystem—though it is not an official Google release. As an expedient we use docker for building. Once you have docker working, the following commands will compile and run the tests. Run the install_macos_dependencies.sh script in the tools/ directory. The script installs dependencies...

Downloads: 0 This Week

Last Update: 2025-09-04
See Project