
CMake
GNU Make
SCons
SBT
Ninja Build
FinalBuilder
npm
Meson
Datapane
ReportServer
Combit
JasperReports
Tableau
NextReports
Invent With Python
Mode Python Notebooks
Based on our record, CMake should be more popular than Datapane. It has been mentiond 55 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.
I used CMAKE as my compiling tool followed by make. - Source: dev.to / about 1 year ago
All this C++ project can't be ran as simple C++ code, so I will be building this whole package using CMake. It will streamline building this project onto other computers. - Source: dev.to / over 1 year ago
For knowledge in this aspect, you can refer to the relevant documents of the CMake build tool: https://cmake.org/. - Source: dev.to / over 1 year ago
I used CMAKE to define the build configurations. I find it very convenient that CMAKE generates the Makefile on Linux and can also create a Visual Studio project on Windows. - Source: dev.to / almost 2 years ago
CMake stands for "Cross-platform Make" and is an open-source, platform-independent build system. It's designed to build, test, and package software projects written in C and C++, but it can also be used for other languages. Here's an overview of CMake and its features:. - Source: dev.to / over 2 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.
SCons - SCons is an Open Source software construction tool—that is, a next-generation build tool.
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.
SBT - SBT is a build tool for Scala, like Ant or Maven but with hieroglyphics.
JasperReports - JasperReports Server is a stand-alone and embeddable reporting server.