TableFlow - Open-source CSV importer, alternative to Flatfile

TableFlow is the open-source CSV import platform. Embed a production-ready import experience in your app in minutes. Save months of engineering effort and ensure all incoming data has been cleaned and validated.

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Hey there, I'm really impressed with TableFlow! As a supporter of open-source projects, I love that you're providing an alternative to Flatfile. I'm curious to know how TableFlow ensures data cleaning and validation. Are there any specific features or algorithms in place for that? Keep up the great work!
Thanks ! We have a set of prebuilt validations that allow teams to define their data requirements. When users upload data, these requirements are evaluated and flagged they aren't properly met. Here's our docs link with more info about the validations:
Hey Mitch and Eric! Congrats on the launch. I love simple working tools that save time and effort, thanks for sharing with the community!
Thanks ! 🙏
Working with CSVs is the opposite of fun. Absolutely love this idea and open source just takes it from a 10 to an 11. Congrats guys, hope to see this becoe the norm. May another dev not have to write a en error prone exuse of an importer ever again.
Thanks - glad to hear we're off the charts on your scale 📈 😁
Awesome! I gave you a star on Github too.
Great - thanks for your support! ⭐️
Love to see this is live now. Best wishes for the team.
Glad your excited 😁
Love the idea. Good luck 🙌🙏🏻
Thanks ! 😁
Great Product..I hope TableFlow uses the next-gen AI services for all CSV importing use cases.
Thanks ! Glad you asked - we're currently leveraging AI to enhance and streamline the import flow. Currently, we offer customers the ability to detect header rows and map columns using our AI service. And we have more plans to expand these capabilities soon! 🎉
Congrats on the launch! Processing CSV uploads is such a pain – this looks like a massive timesaver. Do you also plan to offer automated fixes in CSVs (like, say, removing `,` and `$` signs from a column that should ideally just represent floats). Automated, rule-based, fixing of these things (either on the server or client side) will be huge.
Hi Rishabh - we hope to be a massive timesaver! :) Great question - we do offer this functionality today. For example, TableFlow automatically removes unnecessary commas and returns them as numbers in the cleaned JSON. The '$' is a little more complex, as some developers want/need the currency symbol to be included in the import. We are expanding the flexibility so that, just as you mentioned, teams can define their own rules to be automatically applied.
How are you different than other CSV importers: csvbox.io / dromo ?
Good question! TableFlow was built from the beginning as being the most developer-friendly option in the market. We pride our platform on having the quickest time to implement and providing the most intuitive developer experience. In addition to being open source, our services are able to handle millions of rows of data in extremely efficient fashion. Lastly, we've meticulously crafted our importer UI to ensure that non-technical users are successful in completing their import.
Congrats team TableFlow on the launch!
Thanks !