
Tcl
Haskell
ClojureScript
KornShell
GNU Bourne Again SHell
fish shell
PowerShell Plus
Assmb.ly
LangSmith
Langfuse
Helicone AI
LangChain
Portkey
Humanloop
Braintrust.dev
Braintrust
LangSmithLangSmith is recommended for AI developers, machine learning engineers, and businesses aiming to build, test, and optimize applications based on language models. It is particularly useful for teams that require robust evaluation tools and a streamlined process for managing and deploying language-driven applications.
Based on our record, Tcl seems to be more popular. It has been mentiond 6 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Except for https://tcl.tk/ of course! - Source: Hacker News / over 2 years ago
So Lua is the new Tcl. A lightweight scripting language designed to be embedded in other programs. Then I went and looked at http://tcl.tk and it appears the current maintainers of Tcl forgot why it exists as well. ;-) Everyone hated Tcl back in the day for similar reasons. Too lightweight, no serious language features, etc... Maybe we should just use Scheme. - Source: Hacker News / almost 4 years ago
Tcl (https://tcl.tk/) is actually pretty good, though I doubt it reaches the speeds Lua can. For modding, it may be enough. Source: almost 4 years ago
The main site at https://tcl.tk has lots of resources. Source: about 4 years ago
If you're feeling bored try https://tcl.tk ;P. Source: almost 5 years ago
Haskell - An advanced purely-functional programming language
Langfuse - Langfuse is an open-source LLM engineering platform that helps teams collaboratively debug, analyze, and iterate on their LLM applications.
ClojureScript - A Clojure compiler targeting JavaScript
Helicone AI - Open-source LLM Observability for Developers
KornShell - The KornShell language was designed and developed by David G. Korn at AT&T Bell Laboratories.
LangChain - Framework for building applications with LLMs through composability