Top Tweets for #BuildWithStreamlit
Built a cool Streamlit app?
Share it with #Streamlit & inspire others!
Try `pip install streamlit ` to create your own data app today!
What is your opinion on this? Curious to hear
#Python #DataScience #BuildWithStreamlit
🥁 The final #BuildWithStreamlit winner is...
RAGxplorer by @gabchuayz—convert documents into chunks and visualize them to better understand #RAG-based retrieval processes. 🥳
🛠️ Learn more: https://t.co/PBnj9aWaDU
🎈 Check out the app: https://t.co/EA64q7VSOC
#GenAI #Python
12 more "likes" for us to win the last round of @Streamlit's #BuildwithStreamlit Challenge. Voting closes today.
Please help us get there & enable payments for AI agents!
To vote, please go to the link below & like the post:
https://t.co/pkV3pRr1nP
🥁 This week’s #BuildWithStreamlit winner is…
Runner Race Photo Search by Marco Cheung. 🥳 This app enables runners to easily locate their race photos by searching their bib number.
🛠️ Learn more: https://t.co/CgyZGM5Uj9
🎈 Check out the app: https://t.co/6IVOv6xOPT
#python
See our submission to @streamlit's #Buildwithstreamlit challenge. Streamlit is emerging as a player in the GenAI app space, esp. for #DataScience. We're doing our part building a solution that makes it easy for Data Scientists to get paid for their AI.
https://t.co/pkV3pRr1nP
🔧 There's still time to join the #BuildWithStreamlit challenge!
Share your work by Jan. 18 for a chance to win a shout out on Streamlit social channels + exclusive swag. 🎈
More info 👉 https://t.co/sdXHO6w7LZ
🎁 It's the perfect time of year to wrap up projects, celebrate apps you’ve built, or kickstart new ideas for 2024!
🛠️ Join the #BuildWithStreamlit challenge on the community forum to share what you’re building, and for a chance to win some awesome swag: https://t.co/sdXHO6vzWr
🥁 Check out Week 3's #BuildWithStreamlit winner!
PISA22 by @onlytecnologic lets you explore and visualize the results of the Programme for International Student Assessment (PISA) 2022. 🥳
🛠️ Learn more: https://t.co/oYW2Ujp9L9
🎈 Explore the app: https://t.co/talkQjulVc
🥁 Week 2's #BuildWithStreamlit winner is...
Ahox by Nadhiar Ridho Wahyu Pradana—an anti-hoax news detection app to help users discern credible sources and combat misinformation. 🥳
🛠️ Learn more: https://t.co/k8SjLv5Bym
🎈 Check out the app: https://t.co/ezNfHOJfFa
🥁 This week’s #BuildWithStreamlit winner is…
OpenAI Assistant Builder & Sharer by Alessandro Ciciarell. 🥳 Easily build #AI assistants and share them with the world.
🛠️ Learn more: https://t.co/6kMBJxZmjf
🎈 Check out the app: https://t.co/Bvb0etvU2L
#python #data #llm
We’re loving all the #BuildWithStreamlit apps over on the forum! 🤩
Have a Streamlit app you’re working on? Join the challenge to share your work, get inspired, and snag some swag. 👉 https://t.co/sdXHO6w7LZ
Week 1 ends tomorrow! Winner will be announced on Friday. ❤️
🎁 It's the perfect time of year to wrap up projects, celebrate apps you’ve built, or kickstart new ideas for 2024!
🛠️ Join the #BuildWithStreamlit challenge on the community forum to share what you’re building, and for a chance to win some awesome swag: https://t.co/sdXHO6vzWr
🎆 Ready to wrap up the year with a bang?
🚀 Join the #BuildWithStreamlit challenge and showcase the amazing apps you've built or kickstart new ideas for 2024!
👇 Check out the following @streamlit tweet on how to get started
🎁 It's the perfect time of year to wrap up projects, celebrate apps you’ve built, or kickstart new ideas for 2024!
🛠️ Join the #BuildWithStreamlit challenge on the community forum to share what you’re building, and for a chance to win some awesome swag: https://t.co/sdXHO6vzWr
🎁 It's the perfect time of year to wrap up projects, celebrate apps you’ve built, or kickstart new ideas for 2024!
🛠️ Join the #BuildWithStreamlit challenge on the community forum to share what you’re building, and for a chance to win some awesome swag: https://t.co/sdXHO6vzWr
🤯 @ob12er has done it again.*
@shadcn + @tailwindCSS + @reactjs + Python = Streamlit component. 🔥
Your candy store for custom viz is open for biz. 🍭
#dataviz #datascience #python #buildwithstreamlit
* @kanaries_data
Launch my streamlit-shadcn-ui -- A python library allows you to use @shadcn components with @tailwindcss in @streamlit app.
Benefits of streamlit-shadcn-ui:
- Extends more component options to build streamlit app
- More customization for UI design
- React element in python🙉
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