Dev tools · alternatives · 2026
24 alternatives to Deep Learning Python Library for Stock Market Prediction and Modelling
:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling - GitHub - achillesrasquinha/bulbea: :boar: Deep Learning based Python Library for Stock Market Prediction and Modelling
This is a Python library designed for stock market prediction and modeling using deep learning techniques. It's built for developers and data scientists who want to apply neural networks to financial forecasting tasks.… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Deep Learning Python Library for Stock Market Prediction and Modelling launched in 2017; newer entries below may have overtaken it.
- 1
High-performance TensorFlow library for quantitative finance. - google/tf-quant-finance
2021 · github.com · its alternatives →
- 2
TensorFlow 1.0▲823Open-source machine learning library by Google
2017 · tensorflow.org · its alternatives →
- 3
DeepFace is a leading open-source library for facial recognition and facial attribute analysis, and the de facto standard in Python. It wraps multiple state-of-the-art models that have reached — and even surpassed — human-level accuracy in recognizing faces. By the numbers (as of early 2025): 15,000+ stars on GitHub; ~4 million installations via pip; 800+ citations in academic papers Whether you're building a cutting-edge AI project or simply exploring facial recognition, DeepFace makes advanced capabilities accessible with just a few lines of code.
2025 · github.com · its alternatives →
- 4
:satellite: Simple and ready-to-use tutorials for TensorFlow - GitHub - instillai/TensorFlow-Course: :satellite: Simple and ready-to-use tutorials for TensorFlow
2018 · github.com · its alternatives →
- 5
- 6SR
2015 · navlio.com · its alternatives →
- 7DL
2019 · beta.aifiddle.io · its alternatives →
- 8
Backstory: I wanted to play with intraday stock data but couldn't find a free dataset anywhere. IEXCloud [1] offers API access to 1-minute granularity intraday historical price data, but I was worried that it could get expensive or unwieldy to build up a substantial dataset via API calls. Plus, IEX gives out their raw data for free. I probably should have just used the IEXTools python library [2] to parse IEX's raw data dumps, but I was working on a Julia project, so it felt more thematically appropriate to build a new tool from scratch. I haven't been actively using InvestorsExchange.jl a…
2022 · github.com · its alternatives →
- 9
We recently used DeepSeek V4 Flash as a teacher for finance tasks with GPT-OSS-120B. Distillation works well on this problem. At a constrained 8k token budget, our self-distilled 120B scores 83.61% on FinanceReasoning, above Kimi K3 (81.93%) and Inkling (65.13%). We released the 20B open weights. With V4 as the teacher though, we realized it would be timely to measure if the censorship characteristic of it transferred to the distilled version of the base model. tl;dr it didn't, the teacher answered politically sensitive questions 7 SDs differently than expected, but the distilled model's…
Jul 2026 · ctgt.ai · its alternatives →
- 10
Graph Neural Networks with Keras and Tensorflow 2. - danielegrattarola/spektral
2019 · github.com · its alternatives →
- 11
AI powered stocks, balance sheets, analyst report comparison
2024 · stockmarketgpt.co · its alternatives →
- 12
Open-source machine learning library by Google
2018 · tensorflow.org · its alternatives →
- 13
I’ve spent the last few months building a deep learning engine completely from scratch in Python (using only math and random). What started as a basic linear algebra calculator project grew into a symbolic tensor system with autodiff, custom matrix ops, attention mechanisms, LayerNorm, GELU, and even a text generation demo trained on the Brown corpus. I'm still an undergrad, so my main goal is to deeply understand how deep learning actually works under the hood - gradients, attention, backpropagation, optimizers - by building it step-by-step with full visibility into everything, and without…
2025 · github.com · its alternatives →
- 14PO
Our company Vertex.AI has been working on this for a while but this is the first public release. We're starting with using PlaidML to bring OpenCL support to Keras and more frameworks, platforms, etc are coming. Yes, this means you can use use your AMD GPU for deep learning dev. Sorry, no Mac or Windows support yet although the brave can try building from source (it should work). http://vertex.ai/blog/announcing-plaidml https://github.com/plaidml/plaidml
2017 · its alternatives →
- 15
A minimalist deep learning library written from scratch in Python - sradc/SmallPebble
2021 · github.com · its alternatives →
- 16
Your Personal Quant Analyst for Trading.
Jan 2026 · marketcrunch.ai · its alternatives →
- 17
AI-powered stock insights from natural language prompts
Oct 2025 · its alternatives →
- 18
BULL or BEAR▲25Market sentiment analysis powered by AI
2020 · bullorbear.herokuapp.com · its alternatives →
- 19
AI Based stock Analysis and Prediction Platform.
2025 · stocksageai.com · its alternatives →
- 20
AI-powered stock insights for smarter investing
Oct 2025 · its alternatives →
- 21
AI stock forecasting & volume analysis. 100% free.
Jul 2026 · lay4cast.com · its alternatives →
- 22SO
Hey HN, I’m Dan. I’ve been working on forecasting for the last six years at Google, then Metaculus, and now at FutureSearch. For a long time, I thought prediction markets, “superforecasting”, and AI forecasting techniques had nothing to say about the stock market. Stock prices already reflect the collective wisdom of investors. The stock market is basically a prediction market already. Recently, though, AI forecasting has gotten competitive with human forecasters. And we’ve found a way of modeling long-term company outcomes that is amenable to our forecasting approach. Iteration by…
Nov 2025 · its alternatives →
- 23
Hey HN - my friend and I built Prediction Hunt, a site that aggregates data from prediction markets like Kalshi, Polymarket, and PredictIt into one simple dashboard. It updates every few minutes, shows probabilities for each event, and even highlights arbitrage opportunities when markets disagree. I made it after getting tired of flipping between tabs just to see how each market was pricing the same question. Would love feedback on the product, data accuracy, and any ideas for what you'd want to see next.
2025 · predictionhunt.com · its alternatives →
- 24RA
2021 · researchfin.ai · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →