Description
Tulip Cell is an Excel add-in that provides the technical analysis functions from the Tulip Indicators library.
Tulip Cell alternatives and similar libraries
Based on the "Artificial Intelligence" category.
Alternatively, view Tulip Cell alternatives based on common mentions on social networks and blogs.
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PyTorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration -
TensorFlow
An Open Source Machine Learning Framework for Everyone -
CNTK
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit -
Eclipse Deeplearning4J
Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning using automatic differentiation. -
tiny-cnn
header only, dependency-free deep learning framework in C++14 -
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frugally-deep
Header-only library for using Keras (TensorFlow) models in C++. -
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Tulip Indicators
Technical Analysis Indicator Function Library in C -
AI-Toolbox
A C++ framework for MDPs and POMDPs with Python bindings -
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BayesOpt
BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits. -
Native System Automation
Native cross-platform system automation -
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openmind
Deduction framework with arbitrary mathematical system solver. -
Evolving Objects
A template-based, ANSI-C++ evolutionary computation library which helps you to write your own stochastic optimization algorithms insanely fast. [LGPL]
Static code analysis for 29 languages.
* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest.
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Popular Comparisons
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README
Tulip Cell
Introduction
Tulip Cell is an Excel add-in that provides the technical analysis functions from the Tulip Indicators library.
Building
Building is a pain. I suggest you grab the installer from the website.
If you really want to build it, you'll need the Tulip Indicators code first. I
suggest getting the MinGW compiler. You'll want both the 64-bit and 32-bit
versions. You can look at the Makefile, build32.bat, and build64.bat to
get an idea of how I do things. You'll also want Tcl installed to generate the
Excel VBA wrapper from create_vba.tcl.
Building goes like this:
Set your Tulip Indicators path in the
MakefileRun
build32.batfrom a 32-bit compiler environment. This will maketulipcell32.dll.Run
build64.batfrom a 64-bit compiler environment. This will maketulipcell64.dll.Run
create_vba.tcl. This writes outvba.txt. This is the VBA code that you'll need to put in an Excel add-in.Put the code in an Excel add-in. Save as both
.xlamand.xla.
If you just want to make improvements to the interface, you'll likely not need to do any of the above. Instead, install from the automated installer. Then open Excel, and open the VBA editor (Alt-F11). From there you can edit the VBA code, which is where the Excel add-in features live. If you make useful changes, just send me your new VBA code. I can work it into the upstream build process.