Codility
HackerRank
CodeSignal
iMocha
HackerEarth
TestGorilla
DevSkiller
TestDome
Domo
Looker
Tableau
Sisense
Qlik
Microsoft Power BI
MicroStrategy
QlikSense
The Codility platform includes:
CodeCheck - Design role-specific remote skills assessments to screen your technical candidates before moving them to the interview stage.
CodeLive - Host technical remote or onsite interviews via our shared editor using a range of templates and whiteboards.
CodeEvent - Assess thousands of candidates at a time via technical recruiting events and find the best talent faster.
CodilityBased on our record, Codility should be more popular than Domo. It has been mentiond 2 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.
- Technical skills: have they got the walk to match the talk? Programming languages on a resume mean little if candidates are unable to demonstrate their hard coding skills. You can test these skills with technical skill tests, such as the ones created by Codility or HackerRank. - Source: dev.to / about 2 years ago
Codility : Verify and improve coding skills. - Source: dev.to / over 5 years ago
We currently use domo.com and need to display dashboards to screens. Source: almost 4 years ago
HackerRank - HackerRank is a platform that allows companies to conduct interviews remotely to hire developers and for technical assessment purposes.
Looker - Looker makes it easy for analysts to create and curate custom data experiencesโso everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
CodeSignal - CodeSignal is the leading assessment platform for technical hiring.
Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.
iMocha - Make intelligent talent decisions.
Sisense - The BI & Dashboard Software to handle multiple, large data sets.