Need advice about which tool to choose?Ask the StackShare community!

SciPy

345
155
+ 1
0
TensorFlow

3K
3.2K
+ 1
93
Add tool
Get Advice from developers at your company using StackShare Enterprise. Sign up for StackShare Enterprise.
Learn More
Pros of SciPy
Pros of TensorFlow
    Be the first to leave a pro
    • 29
      High Performance
    • 17
      Connect Research and Production
    • 14
      Deep Flexibility
    • 11
      Auto-Differentiation
    • 10
      True Portability
    • 4
      Powerful
    • 4
      High level abstraction
    • 4
      Easy to use

    Sign up to add or upvote prosMake informed product decisions

    Cons of SciPy
    Cons of TensorFlow
      Be the first to leave a con
      • 9
        Hard
      • 6
        Hard to debug
      • 1
        Documentation not very helpful

      Sign up to add or upvote consMake informed product decisions

      What is 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.

      What is TensorFlow?

      TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.

      Need advice about which tool to choose?Ask the StackShare community!

      Jobs that mention SciPy and TensorFlow as a desired skillset
      CBRE
      Philippines National Capital Region Makati City
      CBRE
      United Kingdom of Great Britain and Northern Ireland England London
      CBRE
      Philippines National Capital Region Makati City
      What companies use SciPy?
      What companies use TensorFlow?
      See which teams inside your own company are using SciPy or TensorFlow.
      Sign up for StackShare EnterpriseLearn More

      Sign up to get full access to all the companiesMake informed product decisions

      What tools integrate with SciPy?
      What tools integrate with TensorFlow?

      Sign up to get full access to all the tool integrationsMake informed product decisions

      Blog Posts

      TensorFlowPySpark+2
      1
      656
      PythonDockerKubernetes+14
      11
      2225
      Dec 4 2019 at 8:01PM

      Pinterest

      JenkinsKubernetesTensorFlow+4
      5
      3045
      What are some alternatives to SciPy and TensorFlow?
      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.
      R Language
      R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, ...) and graphical techniques, and is highly extensible.
      scikit-learn
      scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
      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.
      MATLAB
      Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or traditional programming languages, such as C/C++ or Java.
      See all alternatives