ToolEmu
[ICLR'24 Spotlight] A language model (LM)-based emulation framework for identifying the risks of LM agents with tool use (by ryoungj)
prompttools
Open-source tools for prompt testing and experimentation, with support for both LLMs (e.g. OpenAI, LLaMA) and vector databases (e.g. Chroma, Weaviate, LanceDB). (by hegelai)

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Nutrient – The #1 PDF SDK Library, trusted by 10K+ developers
Other PDF SDKs promise a lot - then break. Laggy scrolling, poor mobile UX, tons of bugs, and lack of support cost you endless frustrations. Nutrient’s SDK handles billion-page workloads - so you don’t have to debug PDFs. Used by ~1 billion end users in more than 150 different countries.
www.nutrient.io
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ToolEmu | prompttools | |
---|---|---|
3 | 5 | |
127 | 2,790 | |
1.6% | 1.2% | |
5.5 | 7.9 | |
11 months ago | 6 months ago | |
Python | Python | |
Apache License 2.0 | Apache License 2.0 |
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.
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.
ToolEmu
Posts with mentions or reviews of ToolEmu.
We have used some of these posts to build our list of alternatives
and similar projects.
-
[R] Identifying the Risks of LM Agents with an LM-Emulated Sandbox - University of Toronto 2023 - Benchmark consisting of 36 high-stakes tools and 144 test cases!
Website: https://toolemu.com/
- ToolEmu: Identifying the Risks of LM Agents with an LM-Emulated Sandbox
-
Identifying the Risks of LM Agents with an LM-Emulated Sandbox - University of Toronto 2023 - Benchmark consisting of 36 high-stakes tools and 144 test cases!
Github: https://github.com/ryoungj/toolemu
prompttools
Posts with mentions or reviews of prompttools.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-12-11.
-
Universal Personal Assistant with LLMs
LLM answer quality directly relates to its given prompts, and therefore, effective prompt engineering is necessary. The landscape of prompt managing platforms and libraries increased manifold. Some tools now actively incorporate specific tweaks of the most recent commercial models, enabling the formulation of prompts that are injected with model-specific formulations. Example libraries are dspy, LMQL, Outlines, and Prompttools,
-
Did GPT-4 really get worse? We built an evaluation framework so you can find out
Here's an example where we compare a few versions of GPT-4 against a locally run Llama 2 model: https://github.com/hegelai/prompttools/blob/main/examples/notebooks/GPT4vsLlama2.ipynb
- Experiment with HuggingFace, OpenAI, and other models using prompttools
- Prompttools: An AGPL-3.0 library for prompt testing and experimentation
-
prompttools: an open source python package for prompt engineers
I wanted to share a project I've been working on that I thought might be relevant to you all, prompttools! It's an open source library with tools for testing prompts, creating CI/CD, and running experiments across models and configurations. It uses notebooks and code so it'll be most helpful for folks approaching prompt engineering from a software background.
What are some alternatives?
When comparing ToolEmu and prompttools you can also consider the following projects:
LOGICGUIDE - Plug in and Play implementation of "Certified Reasoning with Language Models" that elevates model reasoning by 40%
DPL - [NeurIPS 2023] Multi-fidelity hyperparameter optimization with deep power laws that achieves state-of-the-art results across diverse benchmarks.

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Nutrient – The #1 PDF SDK Library, trusted by 10K+ developers
Other PDF SDKs promise a lot - then break. Laggy scrolling, poor mobile UX, tons of bugs, and lack of support cost you endless frustrations. Nutrient’s SDK handles billion-page workloads - so you don’t have to debug PDFs. Used by ~1 billion end users in more than 150 different countries.
www.nutrient.io
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