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Facette
Facette

0
3
+ 1
0
Pandas
Pandas

619
485
+ 1
18
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Pandas vs Facette: What are the differences?

Developers describe Pandas as "High-performance, easy-to-use data structures and data analysis tools for the Python programming language". Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more. On the other hand, Facette is detailed as "Time series data visualization software". It is a web application to display time series data from various sources such as collectd, Graphite, InfluxDB or KairosDB on graphs, designed to be easy to setup and to use.

Pandas and Facette can be primarily classified as "Data Science" tools.

Pandas and Facette are both open source tools. Pandas with 22.1K GitHub stars and 8.79K forks on GitHub appears to be more popular than Facette with 1.07K GitHub stars and 75 GitHub forks.

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What is Facette?

It is a web application to display time series data from various sources such as collectd, Graphite, InfluxDB or KairosDB on graphs, designed to be easy to setup and to use.

What is Pandas?

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more.
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            What are some alternatives to Facette and Pandas?
            NumPy
            Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.
            Anaconda
            A free and open-source distribution of the Python and R programming languages for scientific computing, that aims to simplify package management and deployment. Package versions are managed by the package management system conda.
            SciPy
            Python-based ecosystem of open-source software for mathematics, science, and engineering. It contains modules for optimization, linear algebra, integration, interpolation, special functions, FFT, signal and image processing, ODE solvers and other tasks common in science and engineering.
            PySpark
            It is the collaboration of Apache Spark and Python. it is a Python API for Spark that lets you harness the simplicity of Python and the power of Apache Spark in order to tame Big Data.
            Pentaho Data Integration
            It enable users to ingest, blend, cleanse and prepare diverse data from any source. With visual tools to eliminate coding and complexity, It puts the best quality data at the fingertips of IT and the business.
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            Decisions about Facette and Pandas
            Guillaume Simler
            Guillaume Simler
            at Velchanos.io | 4 upvotes 57.8K views
            Jupyter
            Jupyter
            Anaconda
            Anaconda
            Pandas
            Pandas
            IPython
            IPython

            Jupyter Anaconda Pandas IPython

            A great way to prototype your data analytic modules. The use of the package is simple and user-friendly and the migration from ipython to python is fairly simple: a lot of cleaning, but no more.

            The negative aspect comes when you want to streamline your productive system or does CI with your anaconda environment: - most tools don't accept conda environments (as smoothly as pip requirements) - the conda environments (even with miniconda) have quite an overhead

            See more
            Interest over time
            Reviews of Facette and Pandas
            No reviews found
            How developers use Facette and Pandas
            Avatar of Morris Clay
            Morris Clay uses PandasPandas

            Data wrangling, analysis and pre-processing

            Avatar of Eliana Abraham
            Eliana Abraham uses PandasPandas

            I used this a lot more than I used Jupyter.

            Avatar of GadgetSteve
            GadgetSteve uses PandasPandas

            Great data manipulation tool

            How much does Facette cost?
            How much does Pandas cost?
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