Knack vs Semantria vs Singly
Overview
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CLI (Node.js)
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Detailed Comparison
Integrate people’s contacts, photos, locations, fitness data, and more into your app. Fighting with OAuth annoyances, building data crawlers, and juggling rate-limits slow you down and distract you. Singly makes API integration fast, painless, and reliable so you can focus on what you do best. Singly social login simplifies authentication across 35 services, allowing you to leverage any and all of these existing login credentials, providing access to the personal data that the services have been granted from the individual. Singly social sharing unifies sharing APIs making it easy to post out to social networks so your app grows organically. Instead of integrating with every social network’s sharing APIs, just POST once to Singly and specify where you want it to go. | Build simple web apps like a member directory, job listings, employee time tracking, business directory, contact directory, product catalogue, or equipment tracker. | Semantria applies Text and Sentiment Analysis to tweets, facebook posts, surveys, reviews or enterprise content. |
Intelligent Friending it lets users find the friends they care about most, by sorting by how often they interact and how closely they are connected, surfacing the most important friends right to the top.;Singly Deep Data provides full access to all the data from each service provider, including photos, checkins, statuses, links and more. Query based on location, time or keyword. We provide clean, consistent data formats and deduplicates cross-posts (e.g. Instagram → Twitter).;Push Updates- Turn off your crawlers and get new data sent straight to you.;Archived data- Keep around API data that otherwise has a shelf life, like a user’s incoming Twitter feed.;Intelligent Indexing- Search by Time, Keyword, Location and Participants (liked, tagged, etc.), even if the original API doesn’t.;Faster Syncing- New data in minutes, not hours.;Social Data for Miles- Pull in data feeds from 18 services and counting for your users and their friends.;Aggregation- All of a data type—like photos— in one place, no matter which services they were found on.;Deduplication- Did someone post to Tumblr from Instagram and syndicate it to Twitter and Facebook? We got your back.;Volume Discounts- Millions of users? Nice work. They don’t have to cost millions of dollars. | No cookie-cutter software- define the exact data that your app needs.;Easy data types like name, address, email, and more add structure and formatting to your data.;Powerful options for formulas, equations, files, and images.;Easy and flexible relationships to connect your data (including one-to-many and many-to-many);Import data from spreadsheets or add it manually.;Inline editing for quick updates.;Unlimited rules and filters to find the data you need.;Export your data into CSV, TXT, or JSON files.;Build the app interface for your users to view and manage your data.;Simple drag-and-drop elements like tables, search, lists, and record details.;Add and edit records with forms;Complete flexibility to create the navigation and structure you want.;Add users manually or have them register right from the app.;Create different user roles and permissions.;Assign specific data to users so they can log in and access it.;Embed your apps right in your website or blog.;Embedded apps adapt to your own design and integrate seamlessly.;Publish different versions of your app for different audiences.;Publish different version for web, tablets, and mobile.;Open API for developers to securely access your data and extend your app.;Designers can control the look and feel of your app with custom CSS.;Handle JavaScript events for extended functionality;Each app can be completely customized upon request | Supports C++, Java, .Net, PHP, Python, Ruby, Javascript;Excel add-in installs and runs directly in your Microsoft Excel;Concept Matrix and Deep Learning;Content Discovery;Named Entity Extraction;Theme Extraction;Text Summarization;Query Categorization;Facets and Attributes;Crawling and Automatic Text Extraction;Wikipedia-based categorization technology |
Statistics | ||
Stacks 8 | Stacks 17 | Stacks 1 |
Followers 20 | Followers 36 | Followers 11 |
Votes 1 | Votes 2 | Votes 0 |
Pros & Cons | ||
Pros
| Pros
| No community feedback yet |
Integrations | ||
| No integrations available | No integrations available | |
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