Side related topic: do you think the growth of ML/AI means Python could "dethrone" JavaScript as the generalist language of choice?
Show HN: Taipy – Turns Data and AI algorithms into full web applications
21–30 of 33 posts
Re: Show HN: Taipy – Turns Data and AI algorithms into full web applications
#22Side related topic: do you think the growth of ML/AI means Python could "dethrone" JavaScript as the generalist language of choice?
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Re: Show HN: Taipy – Turns Data and AI algorithms into full web applications
#23Small feedback:
> No knowledge of web development is required!
Then right below
> $ pip install taipy
If it's truly no-code and you don't need to know how to use pip, and your audience is people without web dev knowledge, showing a pip install command so high up on the page might scare that audience away.
Re: Show HN: Taipy – Turns Data and AI algorithms into full web applications
#24What is the business model for https://www.taipy.io/ , https://streamlit.io/ , or https://www.gradio.app/ ? These are nice tools - but how will the sponsoring businesses support themselves? I didn't see any mention of enterprise plans, etc. Is the answer simply that "we've not announced our revenue model yet"? What should one expect?
It's a gold rush right now. Business models don't matter to investors because they want to fund 100 startups with the hope that maybe a couple will hit it big. The goal isn't for all 100 startups to be successful. If these aren't VC funded, maybe just cool side projects and no need for revenue model?
Just like during the peak crypto hype, people were doing things that clearly had no obvious business model. Some figured it out, maybe pivoted a few times, and are successful. Most silently disappeared.
The AI space is really hard to have a long term business model strategy because the market is evolving insanely fast. Your long term business plan could easily be killed by 1 feature release from OpenAI without notice. Perhaps that's anothe reason people are focussing more on use adoption rather than revenue.
The reality is user adoption in AI has WAY more value than revenue growth. You can always monetize later. But first you need users. Most companies prioritize user adoption and worry about revenue later (that's what VCs want from early seed stage AI startups... users are gold, revenue is just a cherry on top).
Obviously thats not sustainable. But that's ok... most companies don't fail because they didn't generate enough revenue. They fail most commonly because they couldn't build a product that could attract enough users (which made it impossible to generate revenue). So it kind of makes sense to stress out about user adoption, because if you can't get that, your business model doesn't matter.
Re: Show HN: Taipy – Turns Data and AI algorithms into full web applications
#25Another fresh python dashboard. Really cool. We need more of these for our Python Apps.
Do we? I struggle to find anything that really differentiates all of these different products. Streamlit, Gradio, etc. are all doing the same thing. What would be the benefit of yet another way to get around writing HTML/CSS/JS? These tools are great for quick POC's, but from what I have seen, none of them are great production ready apps
I think Taipy is excellent for getting around HTML/JS; that's true, but it is not only that. Here are a few Taipy functionalities that I found handy for applications to be used in production by end-users:
- For example, the scenario and data management feature helps end-users properly manage their various business cases. We can easily configure scenarios to model recurrent business cases. I am thinking of standard industry projects like production planning, demand or inventory forecasting, dynamic pricing, etc. An end-user can easily create and compare KPIs of multiple scenarios over time (e.g., a new demand forecast every week) and multiple scenarios for the same time period for what-if analysis for instance.
- The version management is also a good example. Besides a development mode and an experiment mode for testing, debugging, and tuning my pipelines, a specific production mode is designed to easily operate application version upgrades. It helped me deploy a new release of my Taipy application in a production environment including some data compatibility checks and eventually some data migration. I don't know any other system that helps manage application versions, pipeline versions, and data versions in a single tool. Plus it's really easy to use with git releases for instance.
- The pipeline orchestration is also very production-oriented for multi-user applications. You have visual elements for submitting pipelines, managing job executions, tracking successes and failures, historizing user changes, etc. Which is more than helpful in a multi-user environment. Everything is built-in Taipy.
Re: Show HN: Taipy – Turns Data and AI algorithms into full web applications
#26Small feedback: > No knowledge of web development is required! Then right below > $ pip install taipy If it's truly no-code and you don't need to know how to use pip, and your audience is people without web dev knowledge, showing a pip install command so high up on the page might scare that audience away.
Looks like their audience is backend python developers that don't have web-specific knowledge, not no-code folks.
Re: Show HN: Taipy – Turns Data and AI algorithms into full web applications
#27"Show HN" implies that this project is your own personal work. Since you posted both this today and https://news.ycombinator.com/item?id=38461101 (as a Show HN) yesterday, I'm thinking that maybe you weren't aware of this rule? If so, it would be good to read https://news.ycombinator.com/showhn.html and follow the rules in the future.
Re: Show HN: Taipy – Turns Data and AI algorithms into full web applications
#28Earlier quoted context omitted.
Streamlit, for one, was bought by snowflake for 800m, and they've been adding the ability to deploy streamline apps natively to your snowflake account.
Thank you. So they are or would be complements to somebody elses commercial platform.
They had essentially 0 revenue though. Nobody paid for streamlit cloud.
Snowflake's acquisition of Streamlit was similar to Google Cloud's acquisition of Kaggle. They bought a large community of end-users that spent money on their cloud databases.
Re: Show HN: Taipy – Turns Data and AI algorithms into full web applications
#29What is the business model for https://www.taipy.io/ , https://streamlit.io/ , or https://www.gradio.app/ ? These are nice tools - but how will the sponsoring businesses support themselves? I didn't see any mention of enterprise plans, etc. Is the answer simply that "we've not announced our revenue model yet"? What should one expect?
IMO there really isn't one. Nobody has been able to build a business here (yet). Unfortunately the folks who have this problem (data scientists) rarely have budget internally.
Ideally these solutions bridge to engineering teams better, who DO have budget and get the best tools. But again they don't have this problem (they can build & deploy web apps)
Re: Show HN: Taipy – Turns Data and AI algorithms into full web applications
#30Side related topic: do you think the growth of ML/AI means Python could "dethrone" JavaScript as the generalist language of choice?
Well Python lives in the backend and JS in the frontend. You can't really build rich front-end apps yet in Python.
There's 20 tools to build neat little data / ML dashboards in Python that spit out front-end code but those don't have the features that JS / React have