
Diff So Fancy
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MAMP
Firefox Developer Edition
.NET
Typescript
WordPress themes
TreeSize
Flatfile
csvbox
OneSchema
Ingestro
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Diff So Fancy
FlatfileFlatfile is recommended for organizations and teams that frequently need to handle and import large datasets from various sources. It's especially beneficial for software companies, data analysts, and businesses that want to provide their customers with an easy and efficient way to import data into their platforms.
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Based on our record, Diff So Fancy should be more popular than Flatfile. It has been mentiond 19 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
[1] https://github.com/so-fancy/diff-so-fancy. - Source: Hacker News / 5 months ago
That's a great solution and I'm adding it to my fallback. But also, people might be interested in diff-so-fancy[0]. I also like using batcat as a pager. [0] https://github.com/so-fancy/diff-so-fancy. - Source: Hacker News / 9 months ago
https://github.com/so-fancy/diff-so-fancy- Source: Hacker News / over 1 year ago[alias].
The diff itself is impressive, but in terms of styling I still prefer diff-so-fancy[1]. It's easier to read at a glance. [1]: https://github.com/so-fancy/diff-so-fancy/. - Source: Hacker News / over 2 years ago
This is actually one that's really easy to write and remember but I hate typing and I run it all the time, so I've aliased it down to gd for git-diff. Also I use diff-so-fancy to make the output of my diffs look frickin sweet and I suggest you do the same. - Source: dev.to / about 3 years ago
Created in 2018 by David Boskovic and Eric Crane, Flatfile has since become an all-in-one platform after raising $100 million across multiple investment rounds in six years. It describes itself as the โeasiest, fastest, and safest way for developers to build the ideal data file important experience.โ. - Source: dev.to / about 2 years ago
Not all that curious... https://flatfile.com If you're building a vertical SaaS and want to support import from a file, and don't want to spend time reinventing the wheel, this could be a big win. This would let new users bring in existing data from another SaaS (that supports CSV export) or where the incumbent is likely to be Excel. The development time it would take to make something like this solid, usable, and... - Source: Hacker News / almost 3 years ago
If you are a software developer, think about how you could add the data import, transformation, and validation functionality to your web app in only a few minutes with your JavaScript and React knowledge using built-in SDK and libraries. You can think of using SDK such as the front-end Embed React library in the Flatfile. If you need to define more complex data validation rules in a backend, you can request... - Source: dev.to / about 3 years ago
YoBulk is an open-source CSV importer for any SaaS application - It's a free alternative to https://flatfile.com/. Source: over 3 years ago
Hey Everybody, We are really excited to open source YoBulk today. YoBulk is an open source CSV importer for any SaaS application - It's a free alternative to https://flatfile.com/ Why are we building YoBulk: In our previous startup, we were receiving CSV files from various billboard screen owners every day, following a specific template that we defined. Despite the well-defined template, the CSV files we received... - Source: Hacker News / over 3 years ago
WPMU DEV - WPMU offers WordPress Plugins, WordPress Themes, WordPress Multisite and BuddyPress Plugins and Themes.
csvbox - Spreadsheet importer for your web app, SaaS or API
MAMP - MAMP is the abbreviation for Macintosh, Apache, MySQL, and PHP. It is a reliable application with its four components that allows you to access the local PHP server as well as the database server (SQL).
OneSchema - Import customer CSV data 10x faster
Firefox Developer Edition - Built for those who build the Web. The only browser made for developers.
Ingestro - Sick of handling messy data? Create the best possible file import experience for your end customers with just a few lines of code.