Implementation of Ag-Grid component for Streamlit

Overview

streamlit-aggrid

Open in Streamlit GitHub PyPI

AgGrid is an awsome grid for web frontend. More information in https://www.ag-grid.com/. Consider purchasing a license from Ag-Grid if you are going to use enterprise features!

Comment on discuss.streamlit.io If you like it or Buy me a beer 🍺 !


Install

pip install streamlit-aggrid

Quick Use

Create an example.py file

from st_aggrid import AgGrid
import pandas as pd

df = pd.read_csv('https://raw.githubusercontent.com/fivethirtyeight/data/master/airline-safety/airline-safety.csv')
AgGrid(df)

Run :

streamlit run example.py

Demo

Grid data is sent back to streamlit and can be reused in other components. In the example below a chart is updated on grid edition.

example image

Develop

ment Notes Version 0.2.2

  • Updated frontend dependencies to latest version
  • Corrected text color for better viz when using streamlit theme (thanks jasonpmcculloch)
  • Switched default theme to Balham Light ('light'), if you want to use streamlit theme set theme='streamlit' on agGrid call

Version 0.2.0

  • Support Themes
  • Incorporated Pull Requests with fixes and pre-select rows (Thanks randomseed42 and msabramo)
  • You can use strings instead of importing GridUpdateMode and DataReturnMode enumerators
  • it works fine with st.forms!
  • new theme example in example folder

Version 0.1.9

  • Small fixes
  • Organized examples folder

Version 0.1.8

  • Fixes a bug that breaks the grid when NaN or Inf values are present in the data

Version 0.1.7

  • Fixes a bug that happened when converting data back from the grid with only one row
  • Added license_key parameter on AgGrid call.

Version 0.1.6

  • Fixes issue #3
  • Adds support for timedelta columns check example

Version 0.1.5

  • small bug fixes
  • there is an option to avoid grid re-initialization on app update (check fixed_key_example.py on examples folder or here)

Version 0.1.3

  • Fixed bug where cell was blank after edition.
  • Added enable_enterprise_modules argument to AgGrid call for enabling/disabling enterprise features
  • It is now possible to inject js functions on gridOptions. Enabling advanced customizations such as conditional formating (check 4th column on the example)

Version 0.1.2

  • added customCurrencyFormat as column type

Version 0.1.0:

  • I worked a little bit more on making the example app functional.
  • Couple configuration options for update mode (How frontend updates streamlit) and for data returns (grid should return data filtered? Sorted?)
  • Some basic level of row selection
  • Added some docstrings specially on gridOptionsBuilder methods
  • Lacks performance for production. JS Client code is slow...
Gradient-free global optimization algorithm for multidimensional functions based on the low rank tensor train format

ttopt Description Gradient-free global optimization algorithm for multidimensional functions based on the low rank tensor train (TT) format and maximu

5 May 23, 2022
Neural Dynamic Policies for End-to-End Sensorimotor Learning

This is a PyTorch based implementation for our NeurIPS 2020 paper on Neural Dynamic Policies for end-to-end sensorimotor learning.

Shikhar Bahl 47 Dec 11, 2022
Head2Toe: Utilizing Intermediate Representations for Better OOD Generalization

Head2Toe: Utilizing Intermediate Representations for Better OOD Generalization Code for reproducing our results in the Head2Toe paper. Paper: arxiv.or

Google Research 62 Dec 12, 2022
Sdf sparse conv - Deep Learning on SDF for Classifying Brain Biomarkers

Deep Learning on SDF for Classifying Brain Biomarkers To reproduce the results f

1 Jan 25, 2022
This is an official implementation of "Polarized Self-Attention: Towards High-quality Pixel-wise Regression"

Polarized Self-Attention: Towards High-quality Pixel-wise Regression This is an official implementation of: Huajun Liu, Fuqiang Liu, Xinyi Fan and Don

DeLightCMU 212 Jan 08, 2023
A few stylization coreML models that I've trained with CreateML

CoreML-StyleTransfer A few stylization coreML models that I've trained with CreateML You can open and use the .mlmodel files in the "models" folder in

Doron Adler 8 Aug 18, 2022
Learning Compatible Embeddings, ICCV 2021

LCE Learning Compatible Embeddings, ICCV 2021 by Qiang Meng, Chixiang Zhang, Xiaoqiang Xu and Feng Zhou Paper: Arxiv We cannot release source codes pu

Qiang Meng 25 Dec 17, 2022
Towards Flexible Blind JPEG Artifacts Removal (FBCNN, ICCV 2021)

Towards Flexible Blind JPEG Artifacts Removal (FBCNN, ICCV 2021) Jiaxi Jiang, Kai Zhang, Radu Timofte Computer Vision Lab, ETH Zurich, Switzerland 🔥

Jiaxi Jiang 282 Jan 02, 2023
Gans-in-action - Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

GANs in Action by Jakub Langr and Vladimir Bok List of available code: Chapter 2: Colab, Notebook Chapter 3: Notebook Chapter 4: Notebook Chapter 6: C

GANs in Action 914 Dec 21, 2022
Improving XGBoost survival analysis with embeddings and debiased estimators

xgbse: XGBoost Survival Embeddings "There are two cultures in the use of statistical modeling to reach conclusions from data

Loft 242 Dec 30, 2022
💃 VALSE: A Task-Independent Benchmark for Vision and Language Models Centered on Linguistic Phenomena

💃 VALSE: A Task-Independent Benchmark for Vision and Language Models Centered on Linguistic Phenomena.

Heidelberg-NLP 17 Nov 07, 2022
Seach Losses of our paper 'Loss Function Discovery for Object Detection via Convergence-Simulation Driven Search', accepted by ICLR 2021.

CSE-Autoloss Designing proper loss functions for vision tasks has been a long-standing research direction to advance the capability of existing models

Peidong Liu(刘沛东) 54 Dec 17, 2022
The official implementation of the Interspeech 2021 paper WSRGlow: A Glow-based Waveform Generative Model for Audio Super-Resolution.

WSRGlow The official implementation of the Interspeech 2021 paper WSRGlow: A Glow-based Waveform Generative Model for Audio Super-Resolution. Audio sa

Kexun Zhang 96 Jan 03, 2023
Learning embeddings for classification, retrieval and ranking.

StarSpace StarSpace is a general-purpose neural model for efficient learning of entity embeddings for solving a wide variety of problems: Learning wor

Facebook Research 3.8k Dec 22, 2022
Pytorch implementation of our method for regularizing nerual radiance fields for few-shot neural volume rendering.

InfoNeRF: Ray Entropy Minimization for Few-Shot Neural Volume Rendering Pytorch implementation of our method for regularizing nerual radiance fields f

106 Jan 06, 2023
gtfs2vec - Learning GTFS Embeddings for comparing PublicTransport Offer in Microregions

gtfs2vec This is a companion repository for a gtfs2vec - Learning GTFS Embeddings for comparing PublicTransport Offer in Microregions publication. Vis

Politechnika Wrocławska - repozytorium dla informatyków 5 Oct 10, 2022
Ensembling Off-the-shelf Models for GAN Training

Vision-aided GAN video (3m) | website | paper Can the collective knowledge from a large bank of pretrained vision models be leveraged to improve GAN t

345 Dec 28, 2022
Official repository for "Action-Based Conversations Dataset: A Corpus for Building More In-Depth Task-Oriented Dialogue Systems"

Action-Based Conversations Dataset (ABCD) This respository contains the code and data for ABCD (Chen et al., 2021) Introduction Whereas existing goal-

ASAPP Research 49 Oct 09, 2022
Gif-caption - A straightforward GIF Captioner written in Python

Broksy's GIF Captioner Have you ever wanted to easily caption a GIF without havi

3 Apr 09, 2022
auto-tuning momentum SGD optimizer

YellowFin YellowFin is an auto-tuning optimizer based on momentum SGD which requires no manual specification of learning rate and momentum. It measure

Jian Zhang 288 Nov 19, 2022