Software Alternatives & Reviews

CrateIO VS Pandas

Compare CrateIO VS Pandas and see what are their differences

CrateIO logo CrateIO

The Distributed Database for Docker

Pandas logo Pandas

Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
  • CrateIO Landing page
    Landing page //
    2023-09-17
  • Pandas Landing page
    Landing page //
    2023-05-12

CrateIO videos

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Pandas videos

Ozzy Man Reviews: Pandas

More videos:

  • Review - Ozzy Man Reviews: PANDAS Part 2
  • Review - Trash Pandas Review with Sam Healey

Category Popularity

0-100% (relative to CrateIO and Pandas)
Databases
100 100%
0% 0
Data Science And Machine Learning
Relational Databases
100 100%
0% 0
Data Science Tools
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare CrateIO and Pandas

CrateIO Reviews

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Pandas Reviews

25 Python Frameworks to Master
Pandas is a powerful and flexible open-source library used to perform data analysis in Python. It provides high-performance data structures (i.e., the famous DataFrame) and data analysis tools that make it easy to work with structured data.
Source: kinsta.com
Python & ETL 2020: A List and Comparison of the Top Python ETL Tools
When it comes to ETL, you can do almost anything with Pandas if you're willing to put in the time. Plus, pandas is extraordinarily easy to run. You can set up a simple script to load data from a Postgre table, transform and clean that data, and then write that data to another Postgre table.
Source: www.xplenty.com

Social recommendations and mentions

Based on our record, Pandas seems to be a lot more popular than CrateIO. While we know about 198 links to Pandas, we've tracked only 12 mentions of CrateIO. 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.

CrateIO mentions (12)

  • A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
    CrateDB - Distributed Open Source SQL database for real-time analytics. Free Tier CRFREE: One-node with 2 CPUs, 2 GiB of memory, 8 GiB of storage. One cluster per organization, no payment method needed. - Source: dev.to / 3 months ago
  • varpro 0.6: Fast and Simple Nonlinear Fitting
    Not necessarily argmin{}, but it appears as one of top download in crate.io. Again, that's just a suggestion. VarPar seems like a subset of bigger "optimization", but I might be wrong. I am not affiliated to argmin{} at all. I am still learning argmin{} and have not even get my first optimization to run properly. Do I want to learn new workflow again ... hmm.. A search in crate.io for "optimization" yield tons... Source: about 1 year ago
  • A good, fast hash for nucleotides triplet converted to 0, 1, 3, 2 using `3 & (nuc << 1)`
    I really, really don't understand what the big deal with Rust is. I like to call Rust "LLVM's Python". It's a language for people who don't know how to debug segfaults lol. This is coming from me a person who loves Rust, despite all its faults, I believe if used as a low-level language, it can flourish to hell and back. But if you are going to use it as a webframework and load dozens of crate.io libraries on it,... Source: about 1 year ago
  • Unable to compile rand_core
    There's 3 more errors that amount to the same thing. So I run cargo update. Same result. Explicitly tried to update cfg-if then rand_core with --verbose and --aggressive. No output beyond "updating crate.io index." Checked in browser for updates. cfg-if had no new versions since 2018. Then I tried using cargo clean first. Same result. Source: about 1 year ago
  • Stop Comparing Rust to Old C++
    However, I do say that my general points still holds: most user's composing their types will get the right defaults and if they need anything more exotic, the users and domain specialist can very easy coordinate via crate.io . Source: over 1 year ago
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Pandas mentions (198)

  • AWS Serverless Diversity: Multi-Language Strategies for Optimal Solutions
    Python is a natural fit for serverless development. It boasts a vast array of libraries, including Powertools for AWS and robust libraries for data engineers. Its versatility and excellent developer experience make it a top choice for serverless projects, offering a seamless and enjoyable development experience. - Source: dev.to / 13 days ago
  • Pandas reset_index(): How To Reset Indexes in Pandas
    In data analysis, managing the structure and layout of data before analyzing them is crucial. Python offers versatile tools to manipulate data, including the often-used Pandas reset_index() method. - Source: dev.to / 6 days ago
  • Deploying a Serverless Dash App with AWS SAM and Lambda
    Dash is a Python framework that enables you to build interactive frontend applications without writing a single line of Javascript. Internally and in projects we like to use it in order to build a quick proof of concept for data driven applications because of the nice integration with Plotly and pandas. For this post, I'm going to assume that you're already familiar with Dash and won't explain that part in detail.... - Source: dev.to / 2 months ago
  • Stuff I Learned during Hanukkah of Data 2023
    Last year I worked through the challenges using VisiData, Datasette, and Pandas. I walked through my thought process and solutions in a series of posts. - Source: dev.to / 5 months ago
  • Exploring Open-Source Alternatives to Landing AI for Robust MLOps
    Data analysis involves scrutinizing datasets for class imbalances or protected features and understanding their correlations and representations. A classical tool like pandas would be my obvious choice for most of the analysis, and I would use OpenCV or Scikit-Image for image-related tasks. - Source: dev.to / 5 months ago
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What are some alternatives?

When comparing CrateIO and Pandas, you can also consider the following products

PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.

NumPy - NumPy is the fundamental package for scientific computing with Python

Percona - Percona delivers software, support, consulting and managed services for both MySQL and MongoDB across traditional and cloud-based platforms.

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

MySQL - The world's most popular open source database

OpenCV - OpenCV is the world's biggest computer vision library