kuasar VS pandas-ai

Compare kuasar vs pandas-ai and see what are their differences.

kuasar

A multi-sandbox container runtime that provides cloud-native, all-scenario multiple sandbox container solutions. (by kuasar-io)

pandas-ai

Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG. (by Sinaptik-AI)
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kuasar pandas-ai
4 14
1,181 10,984
2.3% 3.2%
8.5 9.8
7 days ago 9 days ago
Rust Python
Apache License 2.0 GNU General Public License v3.0 or later
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.

kuasar

Posts with mentions or reviews of kuasar. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-28.
  • The advantage of WASM compared with container runtimes
    3 projects | news.ycombinator.com | 28 May 2023
    Right now most early examples alas boot a container with a wasm runtime for each wasm instance, which is a sad waste. The whole advantage of wasm should be very lightweight low overhead wasm runtime instances atop a common wasm process. Having a process or container for each instance loses a ton of the benefit, makes it not much better than a regular container.

    Thankfully there is work like the Containerd Sandbox API which enables new architectures like this. https://github.com/containerd/containerd/issues/4131

    It's still being used to spawn a wasm processes per instance for now, but container runtime project Kuasar is already using the Sandbox API to save significant resources, and has already chimed in in comments on HN to express a desire to have shared-process/multi-wasm-instamxe runtimes, which could indeed allow sub ms spawning that could enable instance per request architectures. https://github.com/kuasar-io/kuasar

  • FLaNK Stack Weekly for 30 April 2023
    15 projects | dev.to | 30 Apr 2023
  • Kuasar - A Container Runtime in Rust
    1 project | /r/rust | 29 Apr 2023
  • Kuasar: An efficient multi-sandbox container runtime
    2 projects | news.ycombinator.com | 20 Apr 2023

pandas-ai

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

What are some alternatives?

When comparing kuasar and pandas-ai you can also consider the following projects:

kata-containers - Kata Containers is an open source project and community working to build a standard implementation of lightweight Virtual Machines (VMs) that feel and perform like containers, but provide the workload isolation and security advantages of VMs. https://katacontainers.io/

RasaGPT - 💬 RasaGPT is the first headless LLM chatbot platform built on top of Rasa and Langchain. Built w/ Rasa, FastAPI, Langchain, LlamaIndex, SQLModel, pgvector, ngrok, telegram

keras-ocr - A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.

HealthGPT - Query your Apple Health data with natural language 💬 🩺

sketch - AI code-writing assistant that understands data content

orbstack - Fast, light, simple Docker containers & Linux machines for macOS

pandasql - sqldf for pandas

agorakube - Agorakube is a Certified Kubernetes Distribution built on top of CNCF ecosystem that provides an enterprise grade solution following best practices to manage a conformant Kubernetes cluster for on-premise and public cloud providers.

mito - The mitosheet package, trymito.io, and other public Mito code.

gvisor - Application Kernel for Containers

PromptQueries - An open-source C# library for generating LINQ queries using natural language prompts. Uses OpenAI API for language processing. Supports IQueryable data sources. Prevents SQL injection attacks. Simple and easy-to-use API.