Home
App Analytics
RevenueCat Sales: RCReporting
RevenueCat Sales: RCReporting Vs. Juno – Python and Jupyter

RevenueCat Sales: RCReporting vs Juno – Python and Jupyter Usage & Stats

RCReporting is the most powerful reporting tool for RevenueCat, providing all the features from the website in a native, dark mode supported, beautiful interface. RCReporting is available for a one-time purchase and will include all future updates, made by an indie developer for indie developers. Features include: - Overview reporting - Overview filtering by an app - Subscriber lists - Transaction history - Transaction filtering by app, date, and status - Transaction search by email, transaction id, and customer id - Transaction and subscriber details - Subscriber attributes - Subscriber history - Subscriber event details - Daily stats and transaction history - Charts for: - Active Subscriptions, - Active Subscriptions Movement - ARR - MRR - MRR Movement - Refund Rate - Revenue - Subscription Retention - Trial Conversion - Active Trials - Active Trials Movement - Local transaction notifications - Remote subscription notifications - Custom currency - Sandbox mode - iCloud sync - Widgets - Custom transaction fee - Rename products - RevenueCat Experiments Authenticating with RevenueCat uses the RevenueCat web APIs and all your information is sent directly to RevenueCat only. Your email and password are NOT saved anywhere. RCReporting supports login with 2FA. RCReporting is not affiliated with RevenueCat.

Apple App Store
Paid
Developer Tools

Store Rank

- -

Juno – Python and Jupyter

Zero-setup Python environment and developer toolbox in a first-class citizen app for iPad and iPhone. Juno is designed to cover all your Python coding needs, and will work seamlessly with all source code formats. Juno supports both Python scripts (.py) and Jupyter notebooks (.ipynb) — a document format focused on applying Python to data analysis and computational science. FREE FEATURES - Navigate and manage files and folders, quickly preview documents and media - Browse and view Jupyter notebooks with quick and beautifully rendered previews - Navigate through code sources, scripts, JSON, XML, and other text-based formats with rich previews and syntax highlighting - Add quick access bookmarks for file system locations outside the app's sandbox, or simply open documents in place PRO FEATURES - Run code in Jupyter notebooks and Python sources locally on your device with a built-in Python 3.10 interpreter, entirely offline - Write and execute Python code in a full-fledged development environment, featuring snappy, intelligent code completion and a console with full terminal emulator support - Access all Jupyter features in a modern, powerful and customizable notebook editor - Leverage powerful data analysis, machine learning and developer tools: NumPy, Matplotlib, SciPy, Scikit-learn, Pandas, LXML, and more - View and edit any file as text in a built-in versatile plain text editor with syntax highlighting - Enjoy painless package management: easily install any pure Python package with an intuitive package manager PYTHON SCRIPTS Python scripts are plain-text Python source code files with a .py extension. Juno lets you work on these with snappy code completion, a console with full terminal emulator support, a built-in media viewer for code-generated images, plots, web apps, and more. Juno will execute the code using an embedded Python interpreter, locally on your iPhone or iPad and completely offline. JUPYTER NOTEBOOKS A Jupyter notebook is a versatile document format that enables you to store live code, markdown text, plots, images, and LaTeX equations — all within a single notebook file with a .ipynb extension. Notebooks serve as excellent Python coding playgrounds for data manipulation and experimentation, and Juno makes working with them a breeze! Notebook documents keep a record of all inputs and outputs from an interactive programming session, and the rich output generated by running Python scripts (including HTML, images, video, and plots) is embedded within the Jupyter notebook document. They are particularly convenient for coding in Python for data analysis, machine learning, or computational science in general.