InAppStory
Storyly
Storyteller
StorifyMe
Stories as a Service
Insense
Stories
StorySDK
Matplotlib
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
InAppStory offers an all-in-one customer engagement platform for mobile apps. With tools like stories, mini-games, in-app messaging, and personalized content, we help businesses connect with their users through dynamic, visual communication. Our no-code solutions make it easy to enhance onboarding, boost sales, gather feedback, and improve retention โ all while delivering measurable results. Trusted by medium-sized businesses and enterprises, InAppStory turns every touchpoint into an opportunity to engage, inform, and delight.
InAppStory MatplotlibInAppStory's answer
Most competitors do Stories and stop there; InAppStory lets you consolidate Stories, mini-games, in-app messages, and zero-party data collection into one SDK and dashboard, replacing several point tools. It's built for measurable outcomes and backed by an in-house Creative Studio, a 30-day free trial, and proven scale of 25M daily viewers and 30,000+ stories created.
InAppStory's answer
Founded by CEO Vlad Lastovsky, InAppStory started from a simple insight: apps struggled to hold attention against social media's video and Stories formats, so he built a native way to bring that format inside apps. It has since grown from a single Stories tool into a full engagement platform (Stories + games + messaging + banners), now an international company.
InAppStory's answer
InAppStory is an all-in-one in-app engagement platform, not just a Stories tool โ it combines native Stories, fully playable in-Stories mini-games, in-app messaging, banners, and interactive widgets in one no-code console. It runs through a single SDK for iOS, Android, Flutter, React Native, and web, so teams update everything in real time without developers.
InAppStory's answer
Product, marketing, and growth teams at mid-market and enterprise companies with an existing mobile app who want better engagement, onboarding, and retention without heavy engineering. It's strongest in e-commerce and retail, finance, telecom, and travel, with global adoption across EMEA, the Middle East, and CIS.
InAppStory's answer
InAppStory ships as native and cross-platform SDKs โ Swift (iOS), Kotlin/Java (Android), Flutter, React Native, and web โ with story content rendered via a WebView layer for rich HTML/CSS/JS interactivity, so new formats deploy without app updates. Content, targeting, and analytics run from a cloud-based no-code console that integrates with tools like Google Analytics, Amplitude, and CDPs.
Based on our record, Matplotlib seems to be more popular. It has been mentiond 114 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.
In February, an AI agent named MJ Rathbun submitted a pull request to matplotlib โ the Python plotting library used by half the scientific computing world. Scott Shambaugh, a volunteer maintainer, rejected it. Standard code review. Nothing unusual. - Source: dev.to / 4 months ago
Numbers are useful, but sometimes itโs easier to spot patterns when you can actually see your data. Pandas works seamlessly with Matplotlib, a popular Python library for creating visualizations. Together, they make it easy to turn raw numbers into clear charts. - Source: dev.to / 7 months ago
We are storing the results in JSON files, which we combine, analyze and visualize using matplotlib in Python. Here's the structure of a benchmark result file:. - Source: dev.to / 8 months ago
NetworkX and Matplotlib were used to visualize the graph structure of the agent. - Source: dev.to / 9 months ago
The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, Aโฆ. - Source: dev.to / 10 months ago
Storyly - Bring superb stories to your app
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Storyteller - Storyteller's end-to-end platform gives you a best-in-class Stories experience in days with native SDKs, publishing tools, analytics, and ad support.
NumPy - NumPy is the fundamental package for scientific computing with Python
StorifyMe - Create amazing web story experiences and engage your audience outside of social media
Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.