Camelot is a Python Library to extract tabular data from PDFs.
About Camelot on Product Hunt
“PDF table extraction for humans”
Camelot launched on Product Hunt on October 13th, 2018 and earned 102 upvotes and 2 comments, placing #5 on the daily leaderboard. Camelot is a Python Library to extract tabular data from PDFs.
On the analytics side, Camelot competes within Productivity, Developer Tools and Tech — topics that collectively have 1.8M followers on Product Hunt. The dashboard above tracks how Camelot performed against the three products that launched closest to it on the same day.
Who hunted Camelot?
Camelot was hunted by Divyansh Saini. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Camelot including community comment highlights and product details, visit the product overview.
Divyansh Saini