sanpy | Santiment API Python Client | Machine Learning library
kandi X-RAY | sanpy Summary
kandi X-RAY | sanpy Summary
sanpy is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Numpy, Pandas applications. sanpy has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install sanpy' or download it from GitHub, PyPI.
Santiment API python client.
Santiment API python client.
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Quality
Security
License
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Support
sanpy has a low active ecosystem.
It has 83 star(s) with 24 fork(s). There are 15 watchers for this library.
There were 2 major release(s) in the last 12 months.
There are 3 open issues and 22 have been closed. On average issues are closed in 76 days. There are 4 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of sanpy is 0.12.0
Quality
sanpy has 0 bugs and 60 code smells.
Security
sanpy has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
sanpy code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
sanpy is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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sanpy releases are not available. You will need to build from source code and install.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
Installation instructions, examples and code snippets are available.
sanpy saves you 995 person hours of effort in developing the same functionality from scratch.
It has 3056 lines of code, 239 functions and 31 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed sanpy and discovered the below as its top functions. This is intended to give you an instant insight into sanpy implemented functionality, and help decide if they suit your requirements.
- Builds the portfolio
- Return a list of asset types for dt
- Return all signals on dt
- Sort asset types
- Build a list of tradeable trades
- Updates balance proportions based on the given proportions
- Compute asset shares for a given dt
- Generate a trade
- Adds assets to the portfolio
- Add the given signals to the given dataframe
- Get a metric from a dataset
- Remove assets from the dataset
- Evaluate an event study
- Sets the default redistribution proportion of the asset
- Clear assets
- Get OHLCV prices
- Create a query string
- Gets the time series of a metric
- Test for the hypothesis test
- Evaluate a pandas dataframe
- Execute GQL task
- Compute metrics for a metric
- Execute the GraphQL query
- Return available metrics for a given slug
- Return a query string for all projects
- Get all ERC20 projects
Get all kandi verified functions for this library.
sanpy Key Features
No Key Features are available at this moment for sanpy.
sanpy Examples and Code Snippets
Copy
san.get("projects/all")
name slug ticker totalSupply
0 0chain 0chain ZCN 400000000
1 0x 0x ZRX 1000000000
2 0xBitcoin 0xbtc 0xBTC
Copy
from san import Batch
batch = Batch()
batch.get(
"daily_active_addresses/santiment",
from_date="2018-06-01",
to_date="2018-06-05",
interval="1d"
)
batch.get(
"transaction_volume/santiment",
from_date="2018-06-01",
to_da
Copy
san.get(
"emerging_trends",
from_date="2019-07-01",
to_date="2019-07-02",
interval="1d",
size=5
)
datetime score word
2019-07-01 00:00:00+00:00 375.160034 lnbc
2019-07-01 00:00:00+00:00 355.323281
Community Discussions
Trending Discussions on sanpy
QUESTION
Single Record View, like PL/SQL Developer
Asked 2017-Jan-04 at 15:26
ANSWER
Answered 2017-Jan-04 at 15:26No, unfortunately Sql Server Management Studio does not provide that option.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install sanpy
There are few scripts under extras directory. To install their dependencies use:.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
Find more information at:
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