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README.md

@@ -1,4 +1,6 @@
-# whylog: A Data and Machine Learning Logging Standard
+# whylogs: A Data and Machine Learning Logging Standard
+<img align="center" src="images/Whylabs-Dots-Light-Bg.png" width="250"><img align="center" src="images/Whylabs-Dots-Light-Bg.png" width="250"><img align="center" src="images/Whylabs-Dots-Light-Bg.png" width="250">
+
 
 [![License](http://img.shields.io/:license-Apache%202-blue.svg)](https://github.com/whylabs/whylogs-python/blob/mainline/LICENSE)
 [![PyPI version](https://badge.fury.io/py/whylogs.svg)](https://badge.fury.io/py/whylogs)
@@ -12,11 +14,11 @@
 
 whylogs is an open source standard for data and ML logging, monitoring, and troubleshooting
 
-Whylogs logging agent is the easiest way to enable logging, testing, and monitoring in an ML/AI application. The lightweight agent profiles data in real time, collecting thousands of metrics from structured data, unstructured data, and ML model predictions with zero configuration. 
+whylogs logging agent is the easiest way to enable logging, testing, and monitoring in an ML/AI application. The lightweight agent profiles data in real time, collecting thousands of metrics from structured data, unstructured data, and ML model predictions with zero configuration. 
 
-Whylogs can be installed in any Python, Java or Spark environment; it can be deployed as a container and run as a sidecar; or invoked through various ML tools (see integrations). 
+whylogs can be installed in any Python, Java or Spark environment; it can be deployed as a container and run as a sidecar; or invoked through various ML tools (see integrations). 
 
-Whylogs is designed by data scientists, ML engineers and distributed systems engineers to log data in the most cost-effective, scalable and accurate manner. No sampling. No post-processing. No manual configurations.
+whylogs is designed by data scientists, ML engineers and distributed systems engineers to log data in the most cost-effective, scalable and accurate manner. No sampling. No post-processing. No manual configurations.
 
 whylogs is released under the Apache 2.0 open source license. It supports many languages and is easy to extend. This repo contains the whylogs CLI, language SDKs, and individual libraries are in their own repos.
 
@@ -26,23 +28,18 @@ This is a Python implementation of whylogs. The Java implementation can be found
 If you have any questions, comments, or just want to hang out with us, please join [our Slack channel](http://join.slack.whylabs.ai/).
 
 
-_____________
-Latest release: 0.4.5
-
-_____________
+<img align="center" src="images/Whylabs-Dots-Light-Bg.png" width="250"><img align="center" src="images/Whylabs-Dots-Light-Bg.png" width="250"><img align="center" src="images/Whylabs-Dots-Light-Bg.png" width="250">
 
 
 - [Getting started](#getting-started)
 - [Features](#features)
 - [Data Types](#data-types)
-- [Examples](#examples)
 - [Integrations](#integrations)
 - [Community](#community)
 - [Roadmap](#roadmap)
 - [Contribute](#contribute)
 
-
-
+<img align="center" src="images/Whylabs-Dots-Light-Bg.png" width="250"><img align="center" src="images/Whylabs-Dots-Light-Bg.png" width="250"><img align="center" src="images/Whylabs-Dots-Light-Bg.png" width="250">
 ## Getting started<a name="getting-started" />
 
 
@@ -58,20 +55,49 @@ pip install whylogs
 
 - Download the source code by cloning the repository or by pressing [Download ZIP](https://github.com/whylabs/whylogs-python/archive/master.zip) on this page. 
 
-- Install [poetry](https://python-poetry.org/docs/#installation) for package management
+- You'll need to install poetry in order to install dependencies using the lock file in this project. Follow [their docs](https://python-poetry.org/docs/) to get it set up.
 
-- Then running:
+- Run the following comand at the root of the source code:
 
 ```
 make install
 make
 ```
 
-### Documentation 
+<img align="center" src="images/Whylabs-Dots-Light-Bg.png" width="250"><img align="center" src="images/Whylabs-Dots-Light-Bg.png" width="250"><img align="center" src="images/Whylabs-Dots-Light-Bg.png" width="250">
+## Quickly Logging Data
+
+whylogs is easy to get up and runnings
+
+```python
+from whylogs import get_or_create_session
+import pandas as pd
+
+session = get_or_create_session()
+
+df = pd.read_csv("path/to/file.csv")
+
+with session.logger(dataset_name="my_dataset") as logger:
+
+    #dataframe
+    logger.log_dataframe(df)
+
+    #dict
+    logger.log({"name": 1})
+
+    #images
+    logger.log_images("path/to/image.png")
+```
+
+Check the examples below for visualization and other use cases
+
+<img align="center" src="images/Whylabs-Dots-Light-Bg.png" width="250"><img align="center" src="images/Whylabs-Dots-Light-Bg.png" width="250"><img align="center" src="images/Whylabs-Dots-Light-Bg.png" width="250">
+## Documentation 
 
 The [documentation](https://docs.whylabs.ai/docs/) of this package is generated automatically. 
 
-### Features
+<img align="center" src="images/Whylabs-Dots-Light-Bg.png" width="250"><img align="center" src="images/Whylabs-Dots-Light-Bg.png" width="250"><img align="center" src="images/Whylabs-Dots-Light-Bg.png" width="250">
+## Features
 
 - Accurate data profiling: whylogs calculates statistics from 100% of the data, never requiring sampling, ensuring an accurate representation of data distributions
 - Lightweight runtime: whylogs utilizes approximate statistical methods to achieve minimal memory footprint that scales with the number of features in the data
@@ -80,52 +106,50 @@ The [documentation](https://docs.whylabs.ai/docs/) of this package is generated
 -Tiny storage footprint: whylogs turns data batches and streams into statistical fingerprints, 10-100MB uncompressed
 -Unlimited metrics: whylogs collects all possible statistical metrics about structured or unstructured data
 
-
+<img align="center" src="images/Whylabs-Dots-Light-Bg.png" width="250"><img align="center" src="images/Whylabs-Dots-Light-Bg.png" width="250"><img align="center" src="images/Whylabs-Dots-Light-Bg.png" width="250">
 ## Data Types<a name="data-types" />
 Whylogs supports both structured and unstructured data, specifically: 
 
 | Data type  | Features | Notebook Example |
 | --- | --- | ---|
 |Structured data | Distribution, cardinality, schema, counts, missing values | [Getting started with structure data](https://github.com/whylabs/whylogs-examples/blob/mainline/python/GettingStarted.ipynb) | 
 | Images | exif metadata, derived pixels features,  bounding boxes | [Getting started with images](https://github.com/whylabs/whylogs-examples/blob/mainline/python/Logging_Images.ipynb) |
-|Video  | In development  | [Github Issue #214](https://github.com/whylabs/whylogs/issues/214) | 
-| Tensors | derived 1d features (more in developement) |  [Github Issue #216](https://github.com/whylabs/whylogs/issues/216) |
-| Embeddings | derived 1d features (more in developement) |  |
-| Text | top k values, counts, cardinality (more in developement) | [Github Issue #213](https://github.com/whylabs/whylogs/issues/213)|
+| Video  | In development  | [Github Issue #214](https://github.com/whylabs/whylogs/issues/214) |
+| Tensors | derived 1d features (more in developement) | [Github Issue #216](https://github.com/whylabs/whylogs/issues/216) |
+| Text | top k values, counts, cardinality (more in developement) | [Github Issue #213](https://github.com/whylabs/whylogs/issues/213) |
 | Audio | In developement | [Github Issue #212](https://github.com/whylabs/whylogs/issues/212) | 
 
-
-
-
-
+<img align="center" src="images/Whylabs-Dots-Light-Bg.png" width="250"><img align="center" src="images/Whylabs-Dots-Light-Bg.png" width="250"><img align="center" src="images/Whylabs-Dots-Light-Bg.png" width="250">
 ## Integrations
 
-| Integration | Features | Notebook | Blog Post |
-| --- | --- | ---  | --- | 
-| Spark | Log and monitor any Spark dataframe | | | 
-| Pandas | Log and monitor any pandas dataframe | [Notebook Example](https://github.com/whylabs/whylogs-examples/blob/mainline/python/logging_example.ipynb) | [whylogs: Embrace Data Logging](https://whylabs.ai/blog/posts/whylogs-embrace-data-logging) |
-| Kafka | Log and monitor Kafka topics with whylogs| [Notebook Example](https://github.com/whylabs/whylogs-examples/blob/mainline/python/Kafka.ipynb) | [Integrating whylogs into your Kafka ML Pipeline](https://whylabs.ai/blog/posts/integrating-whylogs-into-your-kafka-ml-pipeline) |
-| MLflow | Enhance MLflow metrics with whylogs:  | [Notebook Example](https://github.com/whylabs/whylogs-examples/blob/mainline/python/MLFlow%20Integration%20Example.ipynb) | [Streamlining data monitoring with whylogs and MLflow](https://whylabs.ai/blog/posts/on-model-lifecycle-and-monitoring) |
-| Github actions | Unit test data with whylogs and github actions| [Notebook Example](https://github.com/whylabs/whylogs-examples/tree/mainline/github-actions) | |
-| RAPIDS |  Use whylogs in RAPIDS environment | [Notebook Example](https://github.com/whylabs/whylogs-examples/blob/mainline/python/RAPIDS%20GPU%20Integration%20Example.ipynb)| [Monitoring High-Performance Machine Learning Models with RAPIDS and whylogs](https://whylabs.ai/blog/posts/monitoring-high-performance-machine-learning-models-with-rapids-and-whylogs) |
-| Java | Run whylogs in Java environment| [Notebook Example](https://github.com/whylabs/whylogs-examples/blob/mainline/java/demo1/src/main/java/com/whylogs/examples/WhyLogsDemo.java) | |
-| Scala | Run whylogs in Scala environment|  [Notebook Example](https://github.com/whylabs/whylogs-examples/blob/mainline/scala/src/main/scala/WhyLogsDemo.scala) | |
-| Docker | Run whylogs as in Docker |  | |
-| AWS S3 |  Store whylogs profiles in S3 | [S3 example](https://github.com/whylabs/whylogs-examples/blob/mainline/python/S3%20example.ipynb)
-
-
+![current integration](images/integrations.001.png)
+| Integration | Features | Resources |
+| --- | --- | ---  | 
+| Spark | Log and monitor any Spark dataframe | |
+| Pandas | Log and monitor any pandas dataframe |  <ul><li>[Notebook Example](https://github.com/whylabs/whylogs-examples/blob/mainline/python/logging_example.ipynb)</li><li>[whylogs: Embrace Data Logging](https://whylabs.ai/blog/posts/whylogs-embrace-data-logging)</li></ul>  |
+| Kafka | Log and monitor Kafka topics with whylogs| <ul><li>[Notebook Example](https://github.com/whylabs/whylogs-examples/blob/mainline/python/Kafka.ipynb)</li><li> [Integrating whylogs into your Kafka ML Pipeline](https://whylabs.ai/blog/posts/integrating-whylogs-into-your-kafka-ml-pipeline) </li></ul>|
+| MLflow | Enhance MLflow metrics with whylogs:  | <ul><li>[Notebook Example](https://github.com/whylabs/whylogs-examples/blob/mainline/python/MLFlow%20Integration%20Example.ipynb)</li><li>[Streamlining data monitoring with whylogs and MLflow](https://whylabs.ai/blog/posts/on-model-lifecycle-and-monitoring)</li></ul> |
+| Github actions | Unit test data with whylogs and github actions| <ul><li>[Notebook Example](https://github.com/whylabs/whylogs-examples/tree/mainline/github-actions)</li></ul> |
+| RAPIDS |  Use whylogs in RAPIDS environment | <ul><li>[Notebook Example](https://github.com/whylabs/whylogs-examples/blob/mainline/python/RAPIDS%20GPU%20Integration%20Example.ipynb)</li><li>[Monitoring High-Performance Machine Learning Models with RAPIDS and whylogs](https://whylabs.ai/blog/posts/monitoring-high-performance-machine-learning-models-with-rapids-and-whylogs)</li></ul> |
+| Java | Run whylogs in Java environment| <ul><li>[Notebook Example](https://github.com/whylabs/whylogs-examples/blob/mainline/java/demo1/src/main/java/com/whylogs/examples/WhyLogsDemo.java)</li></ul>  |
+| Scala | Run whylogs in Scala environment|  <ul><li>[Notebook Example](https://github.com/whylabs/whylogs-examples/blob/mainline/scala/src/main/scala/WhyLogsDemo.scala)</li></ul> | 
+| Docker | Run whylogs as in Docker |  |
+| AWS S3 |  Store whylogs profiles in S3 | <ul><li>[S3 example](https://github.com/whylabs/whylogs-examples/blob/mainline/python/S3%20example.ipynb)</li></ul>
+
+<img align="center" src="images/Whylabs-Dots-Light-Bg.png" width="250"><img align="center" src="images/Whylabs-Dots-Light-Bg.png" width="250"><img align="center" src="images/Whylabs-Dots-Light-Bg.png" width="250">
 ## Roadmap
 
 whylogs is maintained by [WhyLabs](https://whylabs.ai).
 
+<img align="center" src="images/Whylabs-Dots-Light-Bg.png" width="250"><img align="center" src="images/Whylabs-Dots-Light-Bg.png" width="250"><img align="center" src="images/Whylabs-Dots-Light-Bg.png" width="250">
 ## Community
 
 If you have any questions, comments, or just want to hang out with us, please join [our Slack channel](http://join.slack.whylabs.ai/).
 
-
+<img align="center" src="images/Whylabs-Dots-Light-Bg.png" width="250"><img align="center" src="images/Whylabs-Dots-Light-Bg.png" width="250"><img align="center" src="images/Whylabs-Dots-Light-Bg.png" width="250">
 ## Contribute
 
-For more information on contributing to whylogs, see [DEVELOPMENT.md](https://github.com/whylabs/whylogs/blob/mainline/DEVELOPMENT.md).
+We welcome contributions to whylogs. Please see our [developement guide](https://github.com/whylabs/whylogs/blob/mainline/DEVELOPMENT.md) for details.