Mixpanel VS Python

Mixpanel Reviews

1. Deepak Kumar

   | Technical Reviewer at A/B Testing | over 3 years ago
   Mixpanel helps track user behavior and measure success for your application

   I recommend Mixpanel to anyone who needs to do tracking of user behavior in web applications in order to measure against goals.

   🏁 Competitors: VWO, Optimizely, Convertize.io, Picreel

   👍 Pros:    Easy to use|Powerful analytics|Tracks every user actions

   👎 Cons:    Dashboard is complex|Pricing is too high|Hard to implement own data

Python Reviews

Mixpanel mentions (22)

• A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev

  Mixpanel — 100,000 monthly tracked users, unlimited data history and seats, US or EU data residency. - Source: dev.to / 4 months ago

• What do I do after ProductHunt?

  You can test sales copy with Mixpanel to see where your traffic is coming from so you can see which content (Informative or promotional) generates the most engagement. Source: 7 months ago

• Essential Product Metrics Every Startup Founder Should Know

  Custom Data Collection As you grow you can consider a bit more precise configurations and data analytics approachs. Implement custom data collection through or event tracking for example via Mixpanel. This allows you to capture specific metrics tailored to your product's unique needs. - Source: dev.to / 11 months ago

• What issues / painpoints have you experienced with current Analytics Platforms? Mixpanel, Plausible etc.

  I am looking into whether you have experienced any pain points or issues not solved by current analytics platforms. By current solutions I'm talking plausible.io, mixpanel.com, usermaven.com and alike, providing features such as: total visitors, page views, online users, custom events tracking, top sources. Source: over 1 year ago

• Ask HN: What’s your startup’s analytics setup? (2023)

  Ten years ago, there was a popular Ask HN: "what's your startup’s analytics setup?” [0]. Like the poster then (malandrew), I have the same problem in 2023: Selecting analytics solutions for the startup I'm working at has proven to be more daunting than I imagined. There are many services to choose from and it's not immediately obvious how you should choose from the many offerings to get not only complete analytics... - Source: Hacker News / over 1 year ago

Python mentions (281)

• Marking macOS component packages available based on hardware platform type

  Flat packages are the most common used packages, but distribution packages are more robust and can contain multiple flat packages. That's enough detail for this article but if you want to know more Armin Briegel of ScriptingOSX has a great book covering a lot of the details of these package types. I highly recommend picking up a copy for reference. One of the benefits of Distribution packages is that you can... - Source: dev.to / 12 days ago

• Python String Formatting: A Comprehensive Guide to F-strings

  F-strings, introduced in Python 3.6 and later versions, provide a concise and readable way to embed expressions inside string literals. They are created by prefixing a string with the letter ‘f’ or ‘F’. Unlike traditional formatting methods like %-formatting or str.format(), F-strings offer a more straightforward and Pythonic syntax. - Source: dev.to / 3 months ago

• Don’t Block entire Python Thread: Use Asynchronous Programming Instead

  Import aiohttp, asyncio Async def fetch_data(i, url): print('Starting', i, url) async with aiohttp.ClientSession() as session: async with session.get(url): print('Finished', i, url) Async def main(): urls = ["https://dev.to", "https://medium.com", "https://python.org"] async_tasks = [fetch_data(i+1, url) for i, url in enumerate(urls)] await... - Source: dev.to / 4 months ago

• A Comprehensive Guide to Python Threading: Advanced Concepts and Best Practices

  Threading involves the execution of multiple threads (smaller units of a process) concurrently, enabling better resource utilization and improved responsiveness. Python‘s threading module facilitates the creation, synchronization, and communication between threads, offering a robust foundation for building concurrent applications. - Source: dev.to / 5 months ago

• Building Fast APIs with FastAPI: A Comprehensive Guide

  FastAPI is a modern, fast, web framework for building APIs with Python 3.7+ based on standard Python type hints. It is designed to be easy to use, fast to run, and secure. In this blog post, we’ll explore the key features of FastAPI and walk through the process of creating a simple API using this powerful framework. - Source: dev.to / 5 months ago