Introducing Dash for
@ProjectJupyter
:
To display Dash apps & components inline in Jupyter📓, install with:
𝘱𝘪𝘱 𝘪𝘯𝘴𝘵𝘢𝘭𝘭 𝘫𝘶𝘱𝘺𝘵𝘦𝘳-𝘥𝘢𝘴𝘩
Built by Plotly's Chief Scientist,
@jonmmease
🌟 Announcing 3.0.0 🌟
1 year in the making, this is our biggest release yet:
- Deep Jupyter widgets integration
- Interactive plotting of >1M points in Jupyter 🚀
- 1st-class JupyterLab support
Plus much more! Read how we did it:
Today we are launching Plotly Express, a new high-level Python visualization library! Check out our announcement at or just watch this show reel of charts each made in a single line of Python:
Dash apps go where Tableau and PowerBI cannot... NLP, object detection, predictive analytics, and more. With 0.5M+ downloads/month, Dash is the new standard for AI & data science apps.
#Python
#DataScience
#RStats
#MachineLearning
We’ve explored
@OpenAI
’s new
#GPT3
API, and we are super impressed with its capabilities!
For example, you can write a simple description, and GPT-3 can automatically generate a bar chart📊 for you!
CC
@gdb
DistilBART is awesome and super fast! Thank you
@huggingface
for releasing this!
We built this demo app with Dash in <200 lines that summarizes articles in real time (even on entry-level GPUs).
Code here:
We were super impressed by the new Detection Transformers (DETR) library, so we made this Dash GUI from start 2 finish in ~200 lines of Python
Code:
Demo:
cc:
@PyTorch
@facebookai
@szagoruyko5
@fvsmassa
🎉 Today, we’re thrilled to announce a partnership with
@Mila_Quebec
to combine
#datavisualization
and
#artificialintelligence
expertise. ⭐ We look forward to working together and expanding Canada’s AI ecosystem. Check out the press release:
Did you hear about our new open-source JupyterLab extension for editing Plotly charts through a user-friendly point-and-click interface? 🤓👊 Learn how to power up your charts at our next webinar:
We just can't get enough of
@OpenAI
's new API!
We used
#GPT3
to generate code for visualizing
#Gapminder
data.
All we showed was a SINGLE code snippet (and column names), and it could generate plots for new columns AND queried new countries!
CC
@gdb
@npew
This open-source
@rapidsai
Dash app zooms between individual & national level data in seconds:
📈 Visualize 300M+ data points in a web browser on a single GPU
🐼 Drill downs are 20x faster than CPU aggregation with Pandas
ICYMI, you can build an end-to-end summarization app with Dash and
@huggingface
’s transformers (DistilBART). With JupyterDash v0.3.0, you can even access the app directly in
@GoogleColab
and modify the source code on-the-fly!
Try it out:
CC
@TimNovikoff
Did you know that Dash is now available in
@JuliaLanguage
? Julia offers clear and expressive syntax with incredible performance and scalability 🛠. Reserve your spot for our special joint webinar on Wednesday, October 21st @ 1pm EDT! ➡️
🎉Dash HoloViews was just released as part of
@HoloViews
version 1.14!
$ 𝘱𝘪𝘱 𝘪𝘯𝘴𝘵𝘢𝘭𝘭 𝘩𝘰𝘭𝘰𝘷𝘪𝘦𝘸𝘴==1.14
✔️ Automatically link selections across multiple plots (crossfiltering)
✔️ Display
#BigData
using
#Datashader
@jonmease
's post:
📣 Plotly.js v.1.32.0 is out! Our largest release yet. Violin plots, multiple selections, histogram improvements, selection APIs, color blind friendly colorscales, i8n support, and more.
Some of our favorite features:
We love using
@leland_mcinnes
’s UMAP to visualize all types of data! With
@rapidsai
’s cuML library, we built a Dash app in 120 lines of Python that filters and projects up to 200k credit card transactions into a scatter plot in seconds.
Source Code:
The ongoing police brutality against Black people in North America is an atrocity. To all Black users of our software, employees, and the Black Community everywhere — we hope you are safe and connected to friends & family tonight. We choose not to be silent. Black lives matter.
Python users can construct and save plots using and then open and edit them using the new chart editor, all without leaving JupyterLab. 😎✌️ Find out the details at our next webinar:
We talk a lot about “the power of Dash”. That’s why we love seeing our
#Plotly
community put it to the test. 💪💙
Read Kay Jan Wong’s tips in
@TDataScience
to enhance initial skeleton code, advancing to professional
#dashboard
with
#Python
and
#Dash
.
1. BI dashboards no longer cut it in today's AI/ML driven world
2. Python apps are necessary for the complex analytics of today's industries
3. Dash ENT is the
#1
platform for delivering Python apps to business users
Join us for a first look at Gen5:
Want to use Dash with your existing visualization code? Dash’s extensible component system makes it easy. Check out this Dash demo with embedded Plotly, Altair, Bokeh and Seaborn charts. 🙂🔧
After a successful week in prerelease, Plotly for Python 3.0.0 is merged & available on pip! Install with:
pip install plotly
(Or pip install plotly --upgrade if you've used our library in the past)
Huge 🙇 to
@jonmmease
for this monumental effort!
We are happy to release the initial version of Dash Pivottable for Python and R. It wraps
@nicolaskruchten
's
#pivottable
In just a few lines, you can build a drag-n-drop interface to quickly explore your datasets. Download it now on pip!
Announcement:
Images on hover - the *𝘮𝘰𝘴𝘵 𝘳𝘦𝘲𝘶𝘦𝘴𝘵𝘦𝘥 𝘗𝘭𝘰𝘵𝘭𝘺 𝘧𝘦𝘢𝘵𝘶𝘳𝘦 𝘰𝘧 𝘢𝘭𝘭 𝘵𝘪𝘮𝘦* is finally available (and damn does it look 🔥!)
Huge thanks to
@rickyreusser
for help architecting this.
It's no secret that
#Python
users love Dash. Now R users, it's your turn. We're thrilled to officially launch the Dash for
#rstats
package! 🚀 Read the full announcement:
Our
#MachineLearning
docs for Plotly Python just went live! It covers
✅ Regression models visualization
✅ k-Nearest Neighbors
✅ ROC/PR curves for model evaluation
✅ Projections with PCA, t-SNE and UMAP
Start now:
Discussions:
Want to create heatmaps in
#Python
? See how Andy McDonald visualizes geospatial variation and adds interactivity using 𝚒𝚖𝚙𝚘𝚛𝚝 𝚙𝚕𝚘𝚝𝚕𝚢_𝚎𝚡𝚙𝚛𝚎𝚜𝚜 𝚊𝚜 𝚙𝚡 and 𝚍𝚎𝚗𝚜𝚒𝚝𝚢_𝚖𝚊𝚙𝚋𝚘𝚡.
🎉 Dash 1.18.1 was just released!
𝚙𝚒𝚙 𝚒𝚗𝚜𝚝𝚊𝚕𝚕 𝚍𝚊𝚜𝚑==𝟷.𝟷𝟾.𝟷
✔️Faceted and Animated Images & Heatmaps
✔️DataTable
#Bootstrap
Support
✔️Inside Tick Labels
✔️Better Axis Type Detection
Community Post:
#Dash
2.1.0 has been released! 🎉
pip install dash==2.1.0
⭐️ Auto-generated IDs for components inside callbacks
⭐️ Rearranged Keyword Arguments & Flexible Types
⭐️ New Component Prop
See the
#Plotly
community post:
#datascience
#dashboard
#automation