<p align="center">
<img src="https://raw.githubusercontent.com/Riley25/DataNova/refs/heads/main/imges/supernova.jpg" alt="DataNova Logo" width="800">
</p>
# 🌌 DataNova
**DataNova** — a lightweight, R-inspired toolkit for quick data exploration in Python.
Analyze, summarize, and visualize your data in just a few lines of code.
---
## 🚀 Features
- **Instant profiling**: Summarize your dataset structure with `dn.profile(df)`
- **Simple regression & stats** (coming soon!)
---
## 🧠Installation
```bash
pip install datanova
Raw data
{
"_id": null,
"home_page": null,
"name": "DataNova",
"maintainer": null,
"docs_url": null,
"requires_python": ">=3.8",
"maintainer_email": null,
"keywords": "eda, statistics, profiling, regression, visualization, toolkit",
"author": "Riley Heiman",
"author_email": null,
"download_url": "https://files.pythonhosted.org/packages/ab/31/2e16e56b19ca12f02c4a5abc7be5ae29128130ed706c3f07349884dcb841/datanova-0.0.3.tar.gz",
"platform": null,
"description": "<p align=\"center\">\r\n <img src=\"https://raw.githubusercontent.com/Riley25/DataNova/refs/heads/main/imges/supernova.jpg\" alt=\"DataNova Logo\" width=\"800\">\r\n</p>\r\n\r\n# \ud83c\udf0c DataNova\r\n**DataNova** \u2014 a lightweight, R-inspired toolkit for quick data exploration in Python. \r\nAnalyze, summarize, and visualize your data in just a few lines of code.\r\n\r\n---\r\n\r\n## \ud83d\ude80 Features\r\n- **Instant profiling**: Summarize your dataset structure with `dn.profile(df)`\r\n- **Simple regression & stats** (coming soon!)\r\n\r\n---\r\n\r\n## \ud83e\udded Installation\r\n```bash\r\npip install datanova\r\n",
"bugtrack_url": null,
"license": "MIT",
"summary": "This is the start of DataNova.",
"version": "0.0.3",
"project_urls": {
"Homepage": "https://github.com/Riley25/DataNova",
"Issues": "https://github.com/Riley25/DataNova/issues"
},
"split_keywords": [
"eda",
" statistics",
" profiling",
" regression",
" visualization",
" toolkit"
],
"urls": [
{
"comment_text": null,
"digests": {
"blake2b_256": "82efa15e119e66bdd27290aa96f92eb83310d3a4d9fe7f9d7c08ca1be258d73f",
"md5": "6b718466d92773d7d61b20d4706f01b8",
"sha256": "a620ed5a77d5fc75f27ab817e1317740629fc239d4564962bd98dd1d35fab375"
},
"downloads": -1,
"filename": "datanova-0.0.3-py3-none-any.whl",
"has_sig": false,
"md5_digest": "6b718466d92773d7d61b20d4706f01b8",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.8",
"size": 3649,
"upload_time": "2025-10-07T00:13:02",
"upload_time_iso_8601": "2025-10-07T00:13:02.405012Z",
"url": "https://files.pythonhosted.org/packages/82/ef/a15e119e66bdd27290aa96f92eb83310d3a4d9fe7f9d7c08ca1be258d73f/datanova-0.0.3-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": null,
"digests": {
"blake2b_256": "ab312e16e56b19ca12f02c4a5abc7be5ae29128130ed706c3f07349884dcb841",
"md5": "704d8d308dfd8f4c118fc32a7b7b0627",
"sha256": "c867fb1fc59e8d1184a1548ae4a6612abb0a6391e2b24a41dd05e411add16c22"
},
"downloads": -1,
"filename": "datanova-0.0.3.tar.gz",
"has_sig": false,
"md5_digest": "704d8d308dfd8f4c118fc32a7b7b0627",
"packagetype": "sdist",
"python_version": "source",
"requires_python": ">=3.8",
"size": 3572,
"upload_time": "2025-10-07T00:13:03",
"upload_time_iso_8601": "2025-10-07T00:13:03.108882Z",
"url": "https://files.pythonhosted.org/packages/ab/31/2e16e56b19ca12f02c4a5abc7be5ae29128130ed706c3f07349884dcb841/datanova-0.0.3.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2025-10-07 00:13:03",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "Riley25",
"github_project": "DataNova",
"travis_ci": false,
"coveralls": false,
"github_actions": false,
"lcname": "datanova"
}