dart_jsonwebtoken 2.1.0 dart_jsonwebtoken: ^2.1.0 copied to clipboard
A dart implementation of the famous javascript library 'jsonwebtoken' (JWT).
2.1.0 #
- When an undefined error occur
JWTUndefinedError
is thrown containing the original error inerror
property (https://github.com/jonasroussel/jsonwebtoken/issues/9) - BREAKING CHANGE:
jwt.verify
no longer supportthrowUndefinedErrors
parameter
2.0.1 #
- Fixing
JWT.sign
to includeiat
& other attributes when payload is an empty Map
2.0.0 #
- Stable release for null safety
2.0.0-nullsafety.2 #
- New EdDSA Algorithm (EdDSA)
- EdDSAPrivateKey and EdDSAPublicKey, two new keys for EdDSA algorithm
ed25519_edwards
package has been added
2.0.0-nullsafety.1 #
- Null safety migration of this package
1.6.2 #
- Adding
analysis_options.yaml
to work with pedantic during development
1.6.1 #
- Formating for 'static analysis'
1.6.0 #
- New ECDSA Algorithm (EC256, EC384, EC512)
- ECPrivateKey and ECPublicKey, two new keys for ECDSA algorithm
- PrivateKey is renamed in RSAPrivateKey
- PublicKey is renamed in RSAPublicKey
- Optimization of private & public keys parsing
rsa_pkcs
&cryptography
have been removed
1.5.0 #
- Debuging
_TypeError issue on sign method
(#4) - Implementing
toString
in theJWTError
class
1.4.1 #
- Formating for 'static analysis'
1.4.0 #
- Implementing
throwUndefinedErrors
option in theJWT.verify
method
1.3.1 #
- Formating for 'static analysis'
1.3.0 #
- Adding checks in
JWT.verify
function foriss, sub, aud, iat, jti
1.2.1 #
- Formating for 'static analysis'
1.2.0 #
- Payload is now required
- Payload is now dynamic and not restricted to an object
- Dependencies updated
1.1.0 #
- New algorithms
1.0.3 #
- Formating for 'static analysis'
1.0.2 #
- Docs & examples
1.0.1 #
- More details on exceptions
- New examples
1.0.0 #
- New RSA Algorithm (RS256)
- Keys a now using an abstract class 'Key' instead of a string
- SecretKey: for HMAC (HS256)
- PrivateKey & PublicKey: for RSA (RS256)
0.2.1 #
- Formatting
0.2.0 #
- Better documentations
0.1.0 #
- First version with every based features