yyjson
gorilla-cli
| yyjson | gorilla-cli | |
|---|---|---|
| 5 | 11 | |
| 2,831 | 1,149 | |
| - | 2.7% | |
| 7.4 | 5.5 | |
| 24 days ago | 3 months ago | |
| C | Python | |
| MIT License | Apache License 2.0 |
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.
yyjson
- FLaNK Stack Weekly for 07August2023
- yyjson: A high performance C JSON library
-
Show HN: Up to 100x Faster FastAPI with simdjson and io_uring on Linux 5.19
How does yyjson[0] compare to simdjson? Their benchmarks suggest it could be a positive.
[0] https://github.com/ibireme/yyjson
-
Why is my program segfaulting?
Also I am using these libraries: JSON: https://github.com/ibireme/yyjson Networking: https://curl.se/libcurl/
-
How to parse JSON in C ?
If you need speed, by far yyjson. But it sounds like you probably don't need speed, so the other suggestions are likely better.
gorilla-cli
- FLaNK 15 Jan 2024
-
Show HN: Shell-AI, run shell commands with natural language
Hello HN! I know this project is a super simple wrapper around LangChain/OpenAI but I just found myself wanting this badly myself: a super simple `pip install` package that I can use to get command suggestions within the terminal as I'm being productive doing other things.
The implementation is literally one short glue of LangChain and InquirerPy for interactive CLI.
I'm curious which ideas you all have to make this smarter/better. MIT licensed, if you're keen on contributing please feel free to do so. It's a pure hobby project for me.
Some key objectives: never automatically run shell code, I want to see what I run before I run it, present me with some alternatives, a simple path to using local models in the future (Llama 2 Code soon?).
Will add I was inspired by the great https://github.com/gorilla-llm/gorilla-cli project, but didn't like that it sent the prompt to some IP based endpoint.
-
Show HN: Poozle – open-source Plaid for LLMs
Very cool product! Have you consider relying on Gorilla for integrations?
https://github.com/gorilla-llm/gorilla-cli
- FLaNK Stack Weekly for 07August2023
- Show HN: Lemon AI – open-source Zapier NLA to empower agents
- GitHub - gorilla-llm/gorilla-cli: LLMs for your CLI (cum să faci operations doar în limba engleză)
-
30-Jun-2023
gorilla-cli: LLMs for your CLI (https://github.com/gorilla-llm/gorilla-cli)
- Gorilla-CLI: LLMs for CLI including K8s/AWS/GCP/Azure/sed and 1500 APIs
What are some alternatives?
json-c - https://github.com/json-c/json-c is the official code repository for json-c. See the wiki for release tarballs for download. API docs at http://json-c.github.io/json-c/
GPTCache - Semantic cache for LLMs. Fully integrated with LangChain and llama_index.
cJSON - Ultralightweight JSON parser in ANSI C
FLiPStackWeekly - FLaNK AI Weekly covering Apache NiFi, Apache Flink, Apache Kafka, Apache Spark, Apache Iceberg, Apache Ozone, Apache Pulsar, and more...
JSMN - Jsmn is a world fastest JSON parser/tokenizer. This is the official repo replacing the old one at Bitbucket
shell_gpt - A command-line productivity tool powered by AI large language models like GPT-4, will help you accomplish your tasks faster and more efficiently.
parson - Lightweight JSON library written in C.
Transformers-Tutorials - This repository contains demos I made with the Transformers library by HuggingFace.
ultrajson - Ultra fast JSON decoder and encoder written in C with Python bindings
CallCMLModel - An example on calling models deployed in CML
Stroika - Modern C++ made easy
anomalib - An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.