example-dvc-experiments VS gradio

Compare example-dvc-experiments vs gradio and see what are their differences.

example-dvc-experiments

DVC Get Started Project with a focus on `dvc experiment` features. (by iterative)
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example-dvc-experiments gradio
1 116
13 28,987
- 3.7%
0.0 9.9
12 months ago 5 days ago
HTML Python
- 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.
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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.

example-dvc-experiments

Posts with mentions or reviews of example-dvc-experiments. We have used some of these posts to build our list of alternatives and similar projects.
  • DVC (Git For Data): A Complete Intro
    1 project | dev.to | 9 Sep 2021
    While working with DVC, we have to create two files dvc.yaml which contains information about the stages the ML pipeline will have and params.yaml which contains the parameters that different stages of the ML pipeline would use. You can take a look at the structure of both files on the example repository.

gradio

Posts with mentions or reviews of gradio. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-05-01.

What are some alternatives?

When comparing example-dvc-experiments and gradio you can also consider the following projects:

streamlit - Streamlit β€” A faster way to build and share data apps.

stable-diffusion-webui - Stable Diffusion web UI

django-colorfield - :art: color field for django models with a nice color-picker in the admin.

panel - Panel: The powerful data exploration & web app framework for Python

gpt4all - gpt4all: run open-source LLMs anywhere

CustomTkinter - A modern and customizable python UI-library based on Tkinter

InvokeAI - InvokeAI is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, supports terminal use through a CLI, and serves as the foundation for multiple commercial products.

DearPyGui - Dear PyGui: A fast and powerful Graphical User Interface Toolkit for Python with minimal dependencies

diffusers - πŸ€— Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.

re_data - re_data - fix data issues before your users & CEO would discover them 😊

saliency - Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).

wave - Realtime Web Apps and Dashboards for Python and R