Flatfile VS Flookup
Compare Flatfile VS Flookup and see what are their differences
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featured
Flatfile
csvbox
Reindex
DBngin
Backand
Adminium
Flatfile 3.0 – Embeds
DBacked
Flookup
Google Sheets + MonkeyLearn
FuzzyWuzzy
SheetHacks by Polymer Search
Textalytic
Phiona.com
SyncWith for Google Sheets
Logic Sheet
Flookup is lightweight data cleaning suite for Google Sheets. It can be used to:
Flatfile FlookupNo features have been listed yet.
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Flookup was created out of necessity. I was part of a team working on a project that involved cleaning and standardising thousands of rows of data. This data was some of the "dirtiest" we had ever come across and the process of cleaning it usually took about a week for each team member to complete manually. It took a few attempts but, eventually, I was able to develop a usable version of Flookup... and its impact was so significant that our task times were reduced to an average of 30 minutes, with our error rate never exceeding 1% after that.
Flookup's answer:
Flookup's answer:
Flookup's answer:
Flookup features an intuitive set of functions and a finetuned fuzzy matching algorithm capable of tackling the most challenging and untidy datasets found online. It has excelled not only in Western projects but also in projects across Africa, South America and even those involving Asian languages like Chinese.
Flookup helps complete laborious fuzzy matching or lookup tasks quickly and efficiently. It is also the most affordable deduping solution online; useful for removing or highlighting duplicates from mailing lists, contacts and leads.
Based on our record, Flatfile seems to be more popular. It has been mentiond 7 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.
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 / 9 months 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 / 10 months ago
YoBulk is an open-source CSV importer for any SaaS application - It's a free alternative to https://flatfile.com/. Source: about 1 year 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 / about 1 year ago
Spreadsheet data ingestion. Someone did built it, but it was years after: https://flatfile.com/ Not a plug. I'm unaffiliated and just impressed by it. Should've thought of it myself. - Source: Hacker News / over 1 year ago
csvbox - Spreadsheet importer for your web app, SaaS or API
Google Sheets + MonkeyLearn - Power up your Google Sheets with text analysis
Reindex - Instant GraphQL backend for your React apps.
FuzzyWuzzy - FuzzyWuzzy is a Fuzzy String Matching in Python that uses Levenshtein Distance to calculate the differences between sequences.
DBngin - Free all-in-one database version management tool 🛠️
SheetHacks by Polymer Search - Discover the best tips & tricks for Google Sheets & Excel