Official Python client for DataSetIQ — The Modern Economic Data Platform. Access millions of datasets with pandas-ready DataFrames.
☆43Dec 29, 2025Updated 8 months ago
Alternatives and similar repositories for datasetiq-python
Users that are interested in datasetiq-python are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- This repository is used to extract the constituents of ETFs into a pandas DataFrame which could be used for further data exploration.☆30Dec 23, 2025Updated 9 months ago
- This is part of the datamule project.☆70Dec 29, 2025Updated 8 months ago
- gan-options-simulator☆14Apr 9, 2025Updated last year
- 2025-trading-automation-scripts☆130May 16, 2026Updated 4 months ago
- Java OSS library for performing Flesch-Kincaid readability tests.☆11Jan 2, 2025Updated last year
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- AI-native framework for building trading systems with polyglot bindings.☆225Updated this week
- ☆23Sep 10, 2024Updated 2 years ago
- QMC Heston pricing on GPU☆11May 2, 2023Updated 3 years ago
- An arbitrage bot is a smart contract connected to an external automation script that controls its operation.☆2,709Updated this week
- Sci-fi dashboard framework for Claude Code. Profile data, match a design language, build a single-file HTML mockup with real bindings, QA…☆35Aug 28, 2026Updated 3 weeks ago
- Rust library for building Mapbox Vector Tiles from PostGIS. Help wanted to support non-postgis shapes.☆12Apr 7, 2019Updated 7 years ago
- The official Python SDK for the AnyFrame☆15Jun 17, 2026Updated 3 months ago
- A Scenario Creator☆12Jun 12, 2024Updated 2 years ago
- ☆16Nov 9, 2025Updated 10 months ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Code for doing Argument Structure Prediction using Residual Networks and (almost) without symbolic features☆11May 24, 2023Updated 3 years ago
- A sparse matrix implementation of Whittaker-Eilers smoothing and interpolation☆46Jan 8, 2026Updated 8 months ago
- A high-performance, open-source Python charting library for visualizing financial data with technical indicators. Built with FastAPI, uPl…☆116Sep 1, 2026Updated 3 weeks ago
- Approximate Quantiles with Configurable Worst Case Error☆16Mar 8, 2022Updated 4 years ago
- Ergonomic Rust Client For The TradeStation API.☆14Sep 14, 2026Updated last week
- Retrieve historic electricity demand, weather and socioeconomic data and generate synthetic future demand predictions using ML models☆44Updated this week
- Create and analyze argument graphs and serialize them via Protobuf☆10Updated this week
- Contains tools to make geospatial data analysis easy and cheap☆19Jan 20, 2026Updated 8 months ago
- A Python library to download, parse, and analyze SEC EDGAR filings at scale.☆107Jul 31, 2026Updated last month
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Optimized Docker Compose files to use on a Synology NAS☆14Jul 20, 2020Updated 6 years ago
- ☆18Nov 24, 2024Updated last year
- Example App for getting OAuth2 working in litestar☆11Jul 26, 2023Updated 3 years ago
- ☆16Updated this week
- 'Real Debrid Media Manager' is a project created with the intention of streamlining the process of syncing a users 'Trakt' data (movies) …☆10Oct 7, 2024Updated last year
- ☆12Dec 23, 2022Updated 3 years ago
- Code for experiments on transformers using Markovian data.☆22Nov 22, 2024Updated last year
- Multi-LLM trading harness.☆44May 13, 2026Updated 4 months ago
- Accelerator for customer incentive investment using causal inference techniques☆42Jun 2, 2026Updated 3 months ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- My implementation of an order book in c++.☆35Jan 19, 2026Updated 8 months ago
- A practical, open-source playbook for getting real work done with AI agents — for engineers, designers, analysts, PMs, marketers, ops, an…☆39May 18, 2026Updated 4 months ago
- Model translation framework☆16Updated this week
- This data release is meant to accompany and document the paper: https://arxiv.org/abs/2004.11997 Collecting Entailment Data for Pretrain…☆14Sep 29, 2020Updated 5 years ago
- Code for the paper "Spatio-temporal load shifting for truly clean computing"☆16Feb 4, 2025Updated last year
- Build and run a PyPSA network from an Excel table; suitable for users with little programming experience☆19Feb 26, 2025Updated last year
- ☆21May 28, 2026Updated 3 months ago