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Planio makes web based project management and team collaboration more efficient and fun. It is the perfect platform for your projects, team members and clients.

FriendlyData
Infer SQL queries from plain-text questions and table headers.

Which is more popular?
Based on our record, mlsql should be more popular than Plan.io. It has been mentioned 2 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | plan.io | github.com |
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What each product offers, as listed by its team.


Possible disadvantages
No features have been listed yet.
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
Plan.io is highly recommended for small to medium-sized businesses, tech companies, and teams that already have experience with project management tools and need advanced features for complex project management. It is well suited for Agile teams, software developers, and those seeking an all-in-one solution for project planning, tracking, and reporting.
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
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How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using Plan.io and mlsql. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


Plan.io is a project tracking and management software. It is based on Redmine, another open source project management software based on Ruby on Rails. Plan.io will also help with version control and file synchronization.
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Recommendations tracked on public social media and blogs since March 2021.


Plan.io — Project Management with Repository Hosting and more options. Free for 2 users with 10 customers and 500MB Storage. - Source: dev.to / about 5 years ago
I am working on a project that requires me to take user input (as English) and return SQL queries. We will eventually be working with multiple datasets, which is why the valuenet over at https://github.com/paulfitz/mlsql ended up being... Source: over 4 years ago
I found this great resource here: https://github.com/paulfitz/mlsql. Source: almost 5 years ago
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