Esquite | Framework para corpus paralelos Framework for parallel
kandi X-RAY | Esquite Summary
kandi X-RAY | Esquite Summary
Esquite is a Python library. Esquite has no bugs, it has no vulnerabilities, it has build file available, it has a Weak Copyleft License and it has low support. You can download it from GitHub.
Esquite is a framework intended for people who have parallel corpus (bilingual texts) and wish to get a web system that allows them to upload documents, manage them and perform queries based on words and phrases in both languages.
Esquite is a framework intended for people who have parallel corpus (bilingual texts) and wish to get a web system that allows them to upload documents, manage them and perform queries based on words and phrases in both languages.
Support
Quality
Security
License
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Support
Esquite has a low active ecosystem.
It has 15 star(s) with 5 fork(s). There are 2 watchers for this library.
It had no major release in the last 6 months.
There are 17 open issues and 40 have been closed. On average issues are closed in 37 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of Esquite is current.
Quality
Esquite has no bugs reported.
Security
Esquite has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
Esquite is licensed under the MPL-2.0 License. This license is Weak Copyleft.
Weak Copyleft licenses have some restrictions, but you can use them in commercial projects.
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Esquite releases are not available. You will need to build from source code and install.
Build file is available. You can build the component from source.
Installation instructions, examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed Esquite and discovered the below as its top functions. This is intended to give you an instant insight into Esquite implemented functionality, and help decide if they suit your requirements.
- Basic search method
- Return the source IP address from the request
- Extract data from the API
- A helper method for querier
- Load a new document
- Reads a CSV file
- Check if extra fields are present
- Upload a CSV file to a CSV
- Validate environment variables
- Set minimal environment
- Edit a document
- Get information about a document
- Export data from Elasticsearch
- Set the color options
- Return project info
- Provide a list of information about a project
- Utility function to set all services
- A basic info about a git repo
- Eliminate ethnemonic
- Oborna los datos de pagados
- Performs full search
- Configure minimal environment
- Add a new document data
- Create user templates
- Preview a document
- Gets extra fields
- Limits API limits
Get all kandi verified functions for this library.
Esquite Key Features
No Key Features are available at this moment for Esquite.
Esquite Examples and Code Snippets
No Code Snippets are available at this moment for Esquite.
Community Discussions
No Community Discussions are available at this moment for Esquite.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Esquite
Install and run elasticsearch. Note: You can check the official page of Elasticsearch to complete this step depending on your Operating System. Change to the directory's project, make a virtual environment of python with virtualenv and activate. Launch the installation wizard and enter the data requested.
Install and run elasticsearch Note: You can check the official page of Elasticsearch to complete this step depending on your Operating System
Clone this repo $ git clone https://github.com/ElotlMX/Esquite
Environment settings Change to the directory's project, make a virtual environment of python with virtualenv and activate $ cd Esquite $ virtualenv env -p /usr/bin/python3 $ source env/bin/activate
Install dependencies (env)$ pip install -r requirements.txt
Launch the installation wizard and enter the data requested (env)$ python wizard.py Note: The wizard displays that we need an elasticsearch index previously created. To create this index you can run the curl command below $ curl -X PUT -H "Content-Type: application/json" -d @elastic-config.json localhost:9200/<nombre-de-tu-indice> Replace <your-index-name> with the index name that will be used by installation wizard.
Apply django migrations (env)$ python manage.py migrate
Run django in background (env)$ python manage.py runserver 0.0.0.0:8000 &
Install and run elasticsearch Note: You can check the official page of Elasticsearch to complete this step depending on your Operating System
Clone this repo $ git clone https://github.com/ElotlMX/Esquite
Environment settings Change to the directory's project, make a virtual environment of python with virtualenv and activate $ cd Esquite $ virtualenv env -p /usr/bin/python3 $ source env/bin/activate
Install dependencies (env)$ pip install -r requirements.txt
Launch the installation wizard and enter the data requested (env)$ python wizard.py Note: The wizard displays that we need an elasticsearch index previously created. To create this index you can run the curl command below $ curl -X PUT -H "Content-Type: application/json" -d @elastic-config.json localhost:9200/<nombre-de-tu-indice> Replace <your-index-name> with the index name that will be used by installation wizard.
Apply django migrations (env)$ python manage.py migrate
Run django in background (env)$ python manage.py runserver 0.0.0.0:8000 &
Support
Are you a speaker/researcher of a minority language and would like to upload your parallel corpus? Contact us: contacto at elotl.mx.
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