Eland is a Python Elasticsearch client for exploring and analyzing data in Elasticsearch with a familiar Pandas-compatible API.
What's the difference between this Python project and similar ones?
Where possible the package uses existing Python APIs and data structures to make it easy to switch between numpy, pandas, scikit-learn to their Elasticsearch powered equivalents.
In general, the data resides in Elasticsearch and not in memory, which allows Eland to access large datasets stored in Elasticsearch.
Eland also provides tools to upload trained machine learning models from your common libraries like scikit-learn, XGBoost, and LightGBM into Elasticsearch.
--
Anyone who agrees with this pull request could submit an Approve review to it.
🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.
## 📋 Pull Request Information
**Original PR:** https://github.com/vinta/awesome-python/pull/1668
**Author:** [@V1NAY8](https://github.com/V1NAY8)
**Created:** 10/29/2020
**Status:** 🔄 Open
**Base:** `master` ← **Head:** `add-eland`
---
### 📝 Commits (1)
- [`b3290f7`](https://github.com/vinta/awesome-python/commit/b3290f7eab1808d9ce1f11f89f072596388a6c4c) Add Eland
### 📊 Changes
**1 file changed** (+1 additions, -0 deletions)
<details>
<summary>View changed files</summary>
📝 `README.md` (+1 -0)
</details>
### 📄 Description
## What is this Python project?
Eland is a Python Elasticsearch client for exploring and analyzing data in Elasticsearch with a familiar Pandas-compatible API.
## What's the difference between this Python project and similar ones?
- Where possible the package uses existing Python APIs and data structures to make it easy to switch between numpy, pandas, scikit-learn to their Elasticsearch powered equivalents.
- In general, the data resides in Elasticsearch and not in memory, which allows Eland to access large datasets stored in Elasticsearch.
- Eland also provides tools to upload trained machine learning models from your common libraries like scikit-learn, XGBoost, and LightGBM into Elasticsearch.
--
Anyone who agrees with this pull request could submit an *Approve* review to it.
---
<sub>🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.</sub>
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📋 Pull Request Information
Original PR: https://github.com/vinta/awesome-python/pull/1668
Author: @V1NAY8
Created: 10/29/2020
Status: 🔄 Open
Base:
master← Head:add-eland📝 Commits (1)
b3290f7Add Eland📊 Changes
1 file changed (+1 additions, -0 deletions)
View changed files
📝
README.md(+1 -0)📄 Description
What is this Python project?
Eland is a Python Elasticsearch client for exploring and analyzing data in Elasticsearch with a familiar Pandas-compatible API.
What's the difference between this Python project and similar ones?
Where possible the package uses existing Python APIs and data structures to make it easy to switch between numpy, pandas, scikit-learn to their Elasticsearch powered equivalents.
In general, the data resides in Elasticsearch and not in memory, which allows Eland to access large datasets stored in Elasticsearch.
Eland also provides tools to upload trained machine learning models from your common libraries like scikit-learn, XGBoost, and LightGBM into Elasticsearch.
--
Anyone who agrees with this pull request could submit an Approve review to it.
🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.