Tulip Indicators
FlatBuffers
| Tulip Indicators | FlatBuffers | |
|---|---|---|
| 4 | 48 | |
| 802 | 22,062 | |
| 0.7% | 0.6% | |
| 5.2 | 8.7 | |
| 3 months ago | 3 days ago | |
| C | C++ | |
| GNU Lesser General Public License v3.0 only | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Tulip Indicators
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Technical Analysis libraries
TA-lib and pandas-ta have already been mentioned, so just for the sake of alternatives, Tulip indicators
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IBKR API doesn't provide technical indicators, is there any alternative?
Broker APIs usually don't provide those. You'll want to generate them using a library. The most popular are TA Library (linked by another commenter), TuliPy, and TA-Lib. All easy to use.
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Here’s the gist of my algorithm. I want to go big with my algorithm and I need some help from you.
I use Tulip Indicators and my codes run on NodeJS and I maintain data on MariaDB. I can of course transform them to any other programming language, if given a chance.
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C Deep
Tulip Indicators - Library of functions for technical analysis of financial data. LGPL-3.0-or-later
FlatBuffers
- FlatBuffers – an efficient cross platform serialization library for many langs
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Cap'n Proto 1.0
I don't work at Cloudflare but follow their work and occasionally work on performance sensitive projects.
If I had to guess, they looked at the landscape a bit like I do and regarded Cap'n Proto, flatbuffers, SBE, etc. as being in one category apart from other data formats like Avro, protobuf, and the like.
So once you're committed to record'ish shaped (rather than columnar like Parquet) data that has an upfront parse time of zero (nominally, there could be marshalling if you transmogrify the field values on read), the list gets pretty short.
https://capnproto.org/news/2014-06-17-capnproto-flatbuffers-... goes into some of the trade-offs here.
Cap'n Proto was originally made for https://sandstorm.io/. That work (which Kenton has presumably done at Cloudflare since he's been employed there) eventually turned into Cloudflare workers.
Another consideration: https://github.com/google/flatbuffers/issues/2#issuecomment-...
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Anyone has experience with reverse engineering flatbuffers?
Much more in the discussion of this particular issue onGitHub: flatbuffers:Reverse engineering #4258
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Flatty - flat message buffers with direct mapping to Rust types without packing/unpacking
Related but not Rust-specific: FlatBuffers, Cap'n Proto.
- flatbuffers - FlatBuffers: Memory Efficient Serialization Library
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How do AAA studios make update-compatible save systems?
If json files are a concern because of space, you can always look into something like protobuffers or flatbuffers. But whatever you use, you should try to find a solution where you don't have to think about the actual serialization/deserialization of your objects, and can just concentrate on the data.
- QuickBuffers 1.1 released
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Choosing a protocol for communication between multiple microcontrollers
Or, as an alternative to protobuffers, there's also flatbuffers, which is lighter weight and needs less memory: https://google.github.io/flatbuffers/
- FlatBuffers: FlatBuffers
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Is using Flatbuffers to parse sensor data a bad application of Flatbuffers?
As the title suggests, I am considering using Flatbuffers as a way to parse sensor data that has been stored in local datafiles. The project language is python.
What are some alternatives?
Tulip Cell - TulipCell is an Excel add-in providing 100+ technical analysis indicators.
Protobuf - Protocol Buffers - Google's data interchange format
btsk - Behavior Tree Starter Kit
MessagePack - MessagePack implementation for C and C++ / msgpack.org[C/C++]
CNTK - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
MessagePack - MessagePack serializer implementation for Java / msgpack.org[Java]
ANNetGPGPU - A GPU (CUDA) based Artificial Neural Network library
Cap'n Proto - Cap'n Proto serialization/RPC system - core tools and C++ library
AI-Toolbox - A C++ framework for MDPs and POMDPs with Python bindings
cereal - A C++11 library for serialization
frugally-deep - Header-only library for using Keras (TensorFlow) models in C++.
SBE - Simple Binary Encoding (SBE) - High Performance Message Codec