From acd1dfecc99619bf6624f2ce884cf91407d699f9 Mon Sep 17 00:00:00 2001
From: Badr Ouali
Date: Thu, 2 Jul 2026 14:06:59 +0400
Subject: [PATCH] renaming VAST-Orbit to Orbit
-> It will make all the URLs simpler as the org is already vast-data.
-> preparing version to be 0.1.0b2
-> small corrections
---
.github/ISSUE_TEMPLATE/config.yml | 2 +-
README.md | 46 +++++++++----------
docs/source/_templates/page.html | 6 +--
docs/source/about_us.rst | 7 +--
docs/source/chart_gallery_geo.rst | 2 +-
docs/source/cicd.rst | 6 +--
docs/source/conf.py | 6 +--
docs/source/contribution_guidelines.rst | 6 +--
docs/source/contribution_guidelines_code.rst | 2 +-
.../contribution_guidelines_code_auto_doc.rst | 2 +-
...ontribution_guidelines_code_setting_up.rst | 2 +-
docs/source/examples_business_churn.rst | 2 +-
docs/source/examples_business_football.rst | 2 +-
.../source/examples_business_smart_meters.rst | 6 +--
docs/source/examples_business_spam.rst | 2 +-
docs/source/examples_learn_pokemon.rst | 4 +-
docs/source/examples_understand_covid19.rst | 2 +-
docs/source/getting_started.rst | 2 +-
...er_guide_data_exploration_correlations.rst | 2 +-
...ata_exploration_descriptive_statistics.rst | 2 +-
...er_guide_machine_learning_introduction.rst | 2 +-
...user_guide_machine_learning_regression.rst | 2 +-
docs/source/whats_new_v0_1_0.rst | 2 +-
docs/vastorbit-ai-assistant/backend/app.py | 2 +-
pyproject.toml | 10 ++--
requirements-testing.txt | 2 +-
vastorbit/__init__.py | 4 +-
vastorbit/_help.py | 2 +-
.../machine_learning/memmodel/naive_bayes.py | 2 +-
29 files changed, 68 insertions(+), 71 deletions(-)
diff --git a/.github/ISSUE_TEMPLATE/config.yml b/.github/ISSUE_TEMPLATE/config.yml
index 7fceeda..95e170f 100644
--- a/.github/ISSUE_TEMPLATE/config.yml
+++ b/.github/ISSUE_TEMPLATE/config.yml
@@ -1,7 +1,7 @@
blank_issues_enabled: true
contact_links:
- name: Documentation
- url: https://github.com/vast-data/VAST-Orbit/tree/master/docs
+ url: https://github.com/vast-data/Orbit/tree/master/docs
about: Check the documentation for guides and API reference.
- name: Slack Community
url: https://vastsupport.slack.com
diff --git a/README.md b/README.md
index 679e0bd..fa22590 100644
--- a/README.md
+++ b/README.md
@@ -1,5 +1,5 @@
-
+
> **Beta:** VAST Orbit `0.1.x` is the first beta release series. The API and features will change as we work toward a stable `1.0.0`. See [Project Status & Roadmap](#project-status--roadmap).
@@ -18,8 +18,8 @@
## Trailer Video
-
-
+
@@ -61,7 +61,7 @@ Python has become the lingua franca of data science, offering unparalleled flexi
-
+
## Project Status & Roadmap
@@ -86,7 +86,7 @@ To install VAST Orbit with pip:
pip3 install vastorbit[all]
# Latest commit on main branch
-pip3 install git+https://github.com/vast-data/VAST-Orbit.git@main
+pip3 install git+https://github.com/vast-data/Orbit.git@main
```
To install VAST Orbit from source, run the following command from the root directory:
@@ -144,14 +144,14 @@ Dark mode, ideal for extended coding sessions, features a sleek and stylish dark
-
+
On the other hand, Light mode serves as the default theme, offering a clean and bright interface for users who prefer a traditional coding ambiance.
-
+
Theme can be easily switched by:
@@ -185,7 +185,7 @@ SELECT version();
-
+
### SQL Plots
@@ -203,7 +203,7 @@ To create plots, simply provide the type of plot along with the SQL command.
-
+
### Python and SQL Combo
@@ -223,7 +223,7 @@ selected_titanic.groupby(columns=["pclass"], expr=["AVG(survived) AS avg_survive
-
+
### Charts
@@ -234,7 +234,7 @@ A gallery of VAST Orbit-generated charts will be available in the documentation.
-
+
### Complete Machine Learning Pipeline
@@ -286,7 +286,7 @@ iris_data.scatter(
-
+
The **Correlation Matrix** is fast and convenient to compute. Users can choose from a wide variety of correlations, including Cramer, Spearman, Pearson, etc.
@@ -300,7 +300,7 @@ titanic.corr(method="spearman")
-
+
By turning on the SQL print option, users can see and copy SQL queries:
@@ -319,7 +319,7 @@ titanic.corr(method="spearman", focus="survived")
-
+
#### Data Preparation
@@ -338,7 +338,7 @@ data.outliers_plot(columns="Heights")
-
+
#### Machine Learning
@@ -372,7 +372,7 @@ cross_validate(
-
+
### Loading Predefined Datasets
@@ -391,7 +391,7 @@ iris_data = load_iris()
-
+
(2) Use the standard name of the dataset from the schema:
@@ -404,7 +404,7 @@ iris_data = vo.VastFrame(input_relation="public.iris")
-
+
## Quickstart
@@ -452,7 +452,7 @@ vdf = load_titanic()
-
+
Examine your data:
@@ -463,7 +463,7 @@ vdf.describe()
-
+
Print the SQL query with `set_option`:
@@ -513,7 +513,7 @@ cross_validate(
-
+
Train and deploy the model:
@@ -532,7 +532,7 @@ model.features_importance()
-
+
ROC Curve:
@@ -544,7 +544,7 @@ model.roc_curve()
-
+
Once trained, the model can be deployed in the database for high-performance predictions _(in-database deployment availability and limitations vary by algorithm — see [Project Status & Roadmap](#project-status--roadmap))_.
diff --git a/docs/source/_templates/page.html b/docs/source/_templates/page.html
index 430e9e3..d5aa144 100644
--- a/docs/source/_templates/page.html
+++ b/docs/source/_templates/page.html
@@ -48,7 +48,7 @@
at scale, directly on the VAST Data Platform.