DefiLlama VS NumPy
Compare DefiLlama VS NumPy and see what are their differences
LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives.
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DefiLlama
CoinGecko
CoinMarketCap
Moralis
One Click Crypto: AI + DeFi
DeFi Pulse
DexCheck
defi.watch
NumPy
Pandas
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
Figure Eight
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DefiLlama might be a bit more popular than NumPy. We know about 142 links to it since March 2021 and only 122 links to NumPy. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Building a crypto arbitrage bot across EVM chains comes down to three things: quotes from every chain in parallel, a fast comparison loop that spots price gaps larger than fees, and a slippage-tolerant executor that actually lands the trade before the gap closes. Arbitrage windows on EVM chains typically last under 30 seconds on majors and 2-10 seconds on L2s, which means your bot's latency budget is tight โ every... - Source: dev.to / 3 months ago
The best DCA bot strategy in 2026 is one that runs as a scheduled job without human intervention โ which means the swap API it calls must require no API key and no account. Dollar-cost averaging (DCA) is the most-executed automated strategy in crypto: cron-triggered swaps that buy a fixed dollar amount on a fixed cadence, regardless of price. On-chain DCA vaults collectively hold over $1.2 billion in TVL across... - Source: dev.to / 3 months ago
Building an AI agent for memecoin trading comes down to four pieces: an LLM that picks what to trade, a swap API that returns executable calldata, a wallet that signs transactions, and โ most importantly โ a slippage retry loop that handles the inevitable reverts. Memecoin volume on Ethereum and Base routinely exceeds $2 billion per day, and the share handled by autonomous agents is growing fast. But memecoins... - Source: dev.to / 3 months ago
DeFi yield farming now accounts for 36.5% of all DeFi activity, with total value locked peaking at $171.9 billion in late 2025 before stabilizing around $130-140 billion in early 2026 (DeFiLlama). Auto-compounding platforms like Beefy Finance run across 30+ chains, delivering APYs from 8% to 40% by automatically reinvesting rewards -- sometimes multiple times per day (CoinCodex). - Source: dev.to / 4 months ago
DeFiLlama provides a free, keyless API specifically designed for on-chain token pricing. Unlike CoinGecko's exchange-aggregated approach, DeFiLlama derives prices from on-chain DEX pools across 500+ chains tracking 7,000+ protocols. This makes it particularly useful for DeFi-native tokens that may not be listed on centralized exchanges. - Source: dev.to / 4 months ago
Unmatched integration with ML/AI ecosystems through NumPy, TensorFlow, and PyTorch. - Source: dev.to / 9 months ago
The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, Aโฆ. - Source: dev.to / 10 months ago
AI starts with math and coding. You donโt need a PhDโjust high school math like algebra and some geometry. Linear algebra (think matrices) and calculus (like slopes) help understand how AI models work. Python is the main language for AI, thanks to tools like TensorFlow and NumPy. If you know JavaScript from Vue.js, Pythonโs syntax is straightforward. - Source: dev.to / 12 months ago
The AI Service will be built using aiohttp (asynchronous Python web server) and integrates PyTorch, Hugging Face Transformers, numpy, pandas, and scikit-learn for financial data analysis. - Source: dev.to / over 1 year ago
This library provides functions for working in domain of linear algebra, fourier transform, matrices and arrays. - Source: dev.to / almost 2 years ago
CoinGecko - CoinGecko is a free to use web-based and mobile application that provides financial market data for more than 2000 digital currencies.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
CoinMarketCap - Crypto-currency market capitalizations.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Moralis - Scalable, fast and robust web3 infrastructure to build dApps
OpenCV - OpenCV is the world's biggest computer vision library