SCons
GNU Make
CMake
Ninja Build
SBT
FinalBuilder
npm
Ender
Datapane
ReportServer
Combit
JasperReports
Tableau
NextReports
Invent With Python
Mode Python Notebooks
DatapaneBased on our record, SCons should be more popular than Datapane. It has been mentiond 16 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.
Scons is very easy and readable yet very powerful. It is Python based and extensible. https://scons.org/. - Source: Hacker News / over 1 year ago
Has anyone tried SCONS? Came across someone using it in a place where I worked earlier. Python-based make-like tool. https://scons.org/. - Source: Hacker News / over 2 years ago
The most comprehensive make alternative in python I've seen is Scons (https://scons.org/) It would be worth to see how they tackles some of the challenges you're looking into. Blurb from the website: SCons is an Open Source software construction tool. Think of SCons as an improved, cross-platform substitute for the classic Make utility with integrated functionality similar to autoconf/automake and compiler caches... - Source: Hacker News / almost 3 years ago
Https://scons.org/ It has cache facility to speed up re-builds. - Source: Hacker News / about 3 years ago
SCons never got popular enough to escape the niches it grew up in. Source: about 3 years 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
GNU Make - GNU Make is a tool which controls the generation of executables and other non-source files of a program from the program's source files.
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.
CMake - CMake is an open-source, cross-platform family of tools designed to build, test and package software.
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.
Ninja Build - Ninja is a small build system with a focus on speed.
JasperReports - JasperReports Server is a stand-alone and embeddable reporting server.