Fluper Reviews

1. Zainab Rashid

   · COO at ClickMyLoan · about 2 years ago
   Our company offers a cutting-edge mobile banking app, connecting customers with secure and convenient digital banking services.

   In collaboration with Fluper, our primary objective was to develop a user-friendly mobile banking app, allowing customers to manage accounts, make payments, and access financial information. Key deliverables included a seamless user interface, robust security features, and real-time transaction tracking.

   🏁 Competitors: Chime

   👍 Pros:    What truly impressed us about fluper was their commitment to ensuring top-tier security for the mobile banking app. they seamlessly integrated advanced security measures and compliance with banking regulations, providing customers with a secure and convenient digital banking experience.

   👎 Cons:    Fluper was largely positive for us. they played a pivotal role in enhancing post-launch support, providing excellent financial analytics, and ensuring the long-term success of our mobile banking app.
2. Eslam Tawakol

   · QA Manager at Flipdish · about 2 years ago
   Our company offers a comprehensive restaurant management platform, connecting restaurant owners with tools for reservation management, order processing, and customer engagement.

   In collaboration with Fluper, our primary goal was to create a user-friendly restaurant management software that allowed owners to streamline reservations, process orders, and interact with customers. Key deliverables included a responsive interface, secure data storage, and real-time performance analytics.

   🏁 Competitors: JustFoodERP, Foodservice Suite

   👍 Pros:    What truly impressed us about fluper was their deep understanding of the restaurant industry's intricacies. they seamlessly integrated features that enhanced table management and customer interactions while ensuring data security and compliance with industry standards.

   👎 Cons:    Fluper exceeded our expectations. they played a crucial role in enhancing post-launch support, providing excellent restaurant analytics, and ensuring the long-term success of our restaurant management platform.
3. Levi Hernandez

   · COO at Momentus Technologies · about 2 years ago
   Our company provides a comprehensive event management platform, connecting event organizers with tools to plan, promote, and execute successful events.

   Partnering with Fluper, our goal was to develop an event management software that offered features for event planning, ticketing, and attendee engagement. Key deliverables included a user-friendly event dashboard, secure payment processing, and real-time analytics.

   🏁 Competitors: Event Management Technology

   👍 Pros:    What truly set fluper apart was their deep understanding of the event industry's intricacies. they seamlessly integrated features that streamlined event planning and promotion while ensuring data security and compliance with industry standards.

   👎 Cons:    Fluper exceeded our expectations. they played a pivotal role in enhancing post-launch support, providing exceptional event analytics, and helping us transform our event management capabilities.

Matplotlib Reviews

Fluper mentions (0)

Matplotlib mentions (114)

• The soul file

  In February, an AI agent named MJ Rathbun submitted a pull request to matplotlib — 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

• How to Analyze CSV Files with Python and Pandas

  Numbers are useful, but sometimes it’s 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

• libmalloc, jemalloc, tcmalloc, mimalloc - Exploring Different Memory Allocators

  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

• Building an AI Scoring Agent: Step-By-Step

  NetworkX and Matplotlib were used to visualize the graph structure of the agent. - Source: dev.to / 9 months ago

• Top 5 GitHub Repositories for Data Science in 2026

  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, A…. - Source: dev.to / 10 months ago