Tank VS ToolBench

Compare Tank vs ToolBench and see what are their differences.

Tank

Tank is a downloadable application that can be used to load test websites (by intuit)

ToolBench

[ICLR'24 spotlight] An open platform for training, serving, and evaluating large language model for tool learning. (by OpenBMB)
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Tank ToolBench
1 3
81 4,455
- 4.2%
8.4 8.3
4 days ago 8 days ago
Java Python
Eclipse Public License 1.0 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.

Tank

Posts with mentions or reviews of Tank. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-08-07.

ToolBench

Posts with mentions or reviews of ToolBench. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-08-07.

What are some alternatives?

When comparing Tank and ToolBench you can also consider the following projects:

yyjson - The fastest JSON library in C

gorilla-cli - LLMs for your CLI

OpenBuddy - Open Multilingual Chatbot for Everyone

NiFi-Man - Like Travel Man, But With Data. The Data is Here, But Should We Have Ingested it?

fiftyone - The open-source tool for building high-quality datasets and computer vision models

EverythingApacheNiFi - EverythingApacheNiFi

cdf-workshop

harlequin - The SQL IDE for Your Terminal.

CallCMLModel - An example on calling models deployed in CML

flink-kubernetes-operator - Apache Flink Kubernetes Operator

anomalib - An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.