
Segment
Google Analytics
Mixpanel
Egnyte
Zapier
Hotjar
RStudio
Geckoboard
Datapane
ReportServer
Combit
JasperReports
Tableau
NextReports
Invent With Python
Mode Python Notebooks
Segment
DatapaneBased on our record, Segment should be more popular than Datapane. It has been mentiond 46 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.
For teams just starting out with PLG enrichment: Datagma as the primary personal email resolver, PDL as fallback, Segment as the event bus, Mixpanel for behavioral event storage (the SQL explorer makes it easy to export activation cohorts for offline scoring analysis without touching production code), and whatever CRM you already have. - Source: dev.to / 3 months ago
Twilio Segment: Specializes in customer data collection with a more neutral stance toward destination platforms. Its API allows flexible data routing across your tech stack without being tied to specific engagement channels. - Source: dev.to / over 1 year ago
To collect these metrics effectively, you'll need specialized tools like Google Analytics, Mixpanel, Segment, or Amplitude. - Source: dev.to / over 1 year ago
Segment for event collection and routing. - Source: dev.to / over 1 year ago
Segment โ Customer data platform for tracking and analytics. - Source: dev.to / over 1 year ago
PowerPoint will do. If there isn't too much data I will sometimes make a quick datapane html dashboard that I can also send their way. They like that, the plotly plots can be interactive so they can poke around. Nice quick solution that's easy to share. Source: almost 4 years ago
If you're going that route, check out Datapane - it's an open-source Python framework we're working on to create interactive reports from Plotly, Pandas, etc. Source: about 4 years ago
Datapane | https://datapane.com | Remote (UK & Europe) Datapane is the frontend for the data science ecosystem. Our open-source library helps data scientists use the tools they love to create reports, dashboards, and apps for non-technical end-users. We are backed by some of the top investors in the world, and have grown to be the most popular way to create and share data science reports. We are proud to put the... - Source: Hacker News / over 4 years ago
Datapane | https://datapane.com | Remote (Europe) Happy New Year! Datapane is the world's most popular way to create data science reports using Python. Our open-source framework is used by thousands of data scientists to create interactive reports, and our API-first platform serves over 50,000 people a month. We're a technical, remote team based in the UK and founded by YC alum and compsci PhDs. We're just closing... - Source: Hacker News / over 4 years ago
Datapane - API for building interactive reports in Python and deploying Python scripts and Jupyter Notebooks as self-service tools. - Source: dev.to / about 5 years ago
Google Analytics - Improve your website to increase conversions, improve the user experience, and make more money using Google Analytics. Measure, understand and quantify engagement on your site with customized and in-depth reports.
ReportServer - In Reporting Services, URLs are used to access the Report Server Web service and the web portal. Before you can use either application, you must configure at least one URL each for the Web service and the web portal.
Mixpanel - Mixpanel is the most advanced analytics platform in the world for mobile & web.
Combit - Reporting tool for software developers to integrate reporting functions in desktop, web and cloud applications. Made for development environments such as .NET, C#, Delphi, C++, ASP.NET, ASP.NET MVC, .NET Core etc. Supports a variety of data sources.
Egnyte - Enterprise File Sharing
JasperReports - JasperReports Server is a stand-alone and embeddable reporting server.